{"id":105352,"date":"2026-11-01T14:39:41","date_gmt":"2026-11-01T12:39:41","guid":{"rendered":"https:\/\/twodots.gr\/?p=105352"},"modified":"2026-11-01T14:39:41","modified_gmt":"2026-11-01T12:39:41","slug":"relational-hypergraph-transformer-dedomena-polles-vaseis-excel","status":"publish","type":"post","link":"https:\/\/twodots.gr\/ro\/relational-hypergraph-transformer-dedomena-polles-vaseis-excel\/","title":{"rendered":"Relational Hypergraph Transformer: \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03c7\u03c9\u03c1\u03bf\u03cd\u03bd \u03c3\u03b5 \u03ad\u03bd\u03b1 Excel"},"content":{"rendered":"<p><strong>\u03a4\u03bf Relational Hypergraph Transformer (RHT) \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03bb\u03cd\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03c3\u03c5\u03bd\u03b4\u03b5\u03b4\u03b5\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03b9\u03bd\u03ac\u03ba\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c7\u03ac\u03bd\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b9\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c4\u03b5\u03c1\u03ac\u03c3\u03c4\u03b9\u03bf Excel \u03ae wide table.<\/strong> \u0397 \u03b9\u03b4\u03ad\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc e-commerce, ERP, CRM, \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2, \u03b1\u03c0\u03bf\u03b8\u03ae\u03ba\u03b7 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03cc\u03bc\u03c9\u03c2 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03b1 \u03ba\u03b5\u03c1\u03b4\u03af\u03c3\u03b5\u03b9 \u03c4\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac tabular baselines \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>Methodological and Conceptual Framework for 5D Multi-Table Analysis<\/em>, \u03c4\u03bf RHT \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03c9\u03c2 \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf, \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03c3\u03b5 PentE embeddings \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf attention \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ad\u03c2. \u03a3\u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf benchmark, \u03c4\u03bf XGBoost \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bd\u03ac\u03ba\u03bb\u03b7\u03c3\u03b7 \u03c3\u03c0\u03ac\u03bd\u03b9\u03c9\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 macro-F1, \u03b5\u03bd\u03ce \u03c4\u03bf RHT \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae embeddings. \u0386\u03c1\u03b1 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03bf \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf SQL\u00bb, \u03b1\u03bb\u03bb\u03ac \u00ab\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c3\u03ae\u03bc\u03b1\u00bb.<\/p>\n<div class=\"td-article-note\"><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7:<\/strong> \u03c4\u03bf RHT \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 multi-table learning \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c3\u03ae\u03bc\u03b5\u03c1\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03cc pilot \u03bc\u03b5 \u03c4\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1 SQL, BI \u03ba\u03b1\u03b9 machine-learning pipelines \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03bf\u03c0\u03bf\u03b9\u03b1\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Cuprins<\/div>\n<ul>\n<li><a href=\"#provlima-pente-diastaseon\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u00ab\u03c0\u03bf\u03bb\u03bb\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1\u00bb<\/a><\/li>\n<li><a href=\"#ypergrafos-kai-pinakes\">\u0391\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c3\u03c4\u03bf\u03bd \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf<\/a><\/li>\n<li><a href=\"#pente-embeddings\">\u039f\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd PentE embeddings<\/a><\/li>\n<li><a href=\"#sparse-relational-attention\">Sparse relational attention \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#okto-vimata\">\u039f\u03ba\u03c4\u03ce \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf profiling \u03c3\u03c4\u03bf monitoring<\/a><\/li>\n<li><a href=\"#synthea-benchmark\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf Synthea<\/a><\/li>\n<li><a href=\"#apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#ablations-mimic\">\u03a4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03c4\u03b1 ablations \u03ba\u03b1\u03b9 \u03c4\u03bf MIMIC-IV demo<\/a><\/li>\n<li><a href=\"#oria\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#business-analytics\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 business \u03ba\u03b1\u03b9 e-commerce analytics<\/a><\/li>\n<li><a href=\"#pilot\">\u03a0\u03ce\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 multi-table pilot<\/a><\/li>\n<li><a href=\"#production-metrics\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production<\/a><\/li>\n<li><a href=\"#symperasma\">\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 decision-makers<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"provlima-pente-diastaseon\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u00ab\u03c0\u03bf\u03bb\u03bb\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1\u00bb<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ac \u03bc\u03b1\u03b6\u03af. \u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03cc\u03b3\u03ba\u03bf\u03c2: \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b5\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03bf\u03cd\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2. \u0397 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ce\u03bd. \u0397 \u03c4\u03c1\u03af\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c5\u03c8\u03b7\u03bb\u03ae \u03c0\u03bb\u03b7\u03b8\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd, \u03cc\u03c0\u03c9\u03c2 \u03c7\u03b9\u03bb\u03b9\u03ac\u03b4\u03b5\u03c2 SKU, \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03af \u03b1\u03b9\u03c4\u03b9\u03ce\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2 \u03ae \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03af. \u0397 \u03c4\u03ad\u03c4\u03b1\u03c1\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 one-to-many, many-to-many \u03ba\u03b1\u03b9 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b5\u03c2. \u0397 \u03c0\u03ad\u03bc\u03c0\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03ac\u03bd\u03b9\u03c3\u03b1 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03b9\u03b1\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u0388\u03bd\u03b1 wide table \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf schema \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc. \u0394\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03c4\u03b7\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03c9\u03bd, \u03c4\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03c4\u03c9\u03bd \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2. \u0397 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 sparse \u03c3\u03c4\u03ae\u03bb\u03b5\u03c2, \u03c4\u03b1 \u03be\u03ad\u03bd\u03b1 \u03ba\u03bb\u03b5\u03b9\u03b4\u03b9\u03ac \u03c0\u03b1\u03cd\u03bf\u03c5\u03bd \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c9\u03c2 \u03c1\u03b7\u03c4\u03ae \u03b4\u03bf\u03bc\u03ae \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 join \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03b1\u03c3\u03b9\u03ac\u03c3\u03b5\u03b9 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03af\u03c3\u03c9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03b3\u03b9\u03b1 reporting, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03ba\u03b1\u03c4\u2019 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b1\u03b8\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc task.<\/p>\n<p>\u0397 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03bd\u03bf\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u0388\u03bd\u03b1 ETL pipeline \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03ce\u03c3\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03ac\u03bb\u03b9 \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03b7\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03b2\u03bf\u03b7\u03b8\u03ac \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ac\u03b2\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1, \u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03ae \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae.<\/p>\n<div class=\"td-comparison-cards\">\n<article class=\"td-platform-card\">\n<h3>Wide table<\/h3>\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac tabular baselines. \u0397 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 joins, \u03c3\u03c4\u03bf feature engineering \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 sparse \u03c3\u03c4\u03b7\u03bb\u03ce\u03bd.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">SQL \/ BI<\/span><span class=\"td-badge\">\u0395\u03cd\u03ba\u03bf\u03bb\u03bf baseline<\/span><\/div>\n<\/article>\n<article class=\"td-platform-card td-platform-card--navy\">\n<h3>\u0391\u03c0\u03bb\u03cc \u03b3\u03c1\u03ac\u03c6\u03b7\u03bc\u03b1<\/h3>\n<p>\u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03b6\u03b5\u03cd\u03b3\u03b7 \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 message passing, \u03b1\u03bb\u03bb\u03ac \u03ad\u03bd\u03b1 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03bc\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c3\u03c5\u03c7\u03bd\u03ac \u03c4\u03b5\u03bc\u03b1\u03c7\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Pairwise \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2<\/span><span class=\"td-badge\">GraphSAGE<\/span><\/div>\n<\/article>\n<article class=\"td-platform-card\">\n<h3>\u03a3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03cc\u03c2 \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c2<\/h3>\n<p>\u039c\u03af\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b1\u03ba\u03bc\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03b4\u03cd\u03bf \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03c9\u03c2 \u03b5\u03bd\u03b9\u03b1\u03af\u03b1 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">N-ary \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03b1<\/span><span class=\"td-badge\">RHT<\/span><\/div>\n<\/article>\n<\/div>\n<h2 id=\"ypergrafos-kai-pinakes\">\u0391\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c3\u03c4\u03bf\u03bd \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf<\/h2>\n<p>\u03a3\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc \u03b3\u03c1\u03ac\u03c6\u03b7\u03bc\u03b1, \u03bc\u03b9\u03b1 \u03b1\u03ba\u03bc\u03ae \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03b4\u03cd\u03bf \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2. \u03a3\u03b5 \u03bc\u03b9\u03b1 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7, \u03cc\u03bc\u03c9\u03c2, \u03ad\u03bd\u03b1 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1, \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9, \u03ba\u03bf\u03c5\u03c0\u03cc\u03bd\u03b9 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03c4\u03b9\u03b3\u03bc\u03ae. \u039f \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b1\u03ba\u03bc\u03ae \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03c9\u03bd \u03b6\u03b5\u03c5\u03b3\u03ce\u03bd.<\/p>\n<p>\u0397 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ac \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd: \u03c1\u03b7\u03c4\u03ac foreign keys, \u03b5\u03c0\u03b9\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9\u03c2 \u03c4\u03b9\u03bc\u03ce\u03bd, \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc metadata \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03bc\u03bf\u03c4\u03af\u03b2\u03b1. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 pruning \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03ba\u03b1\u03b9 \u03c0\u03b7\u03b3\u03ae \u03c1\u03af\u03c3\u03ba\u03bf\u03c5. \u0391\u03bd \u03c4\u03b1 metadata \u03b5\u03af\u03bd\u03b1\u03b9 \u03c6\u03c4\u03c9\u03c7\u03ac, \u03c4\u03b1 identifiers \u03b1\u03c3\u03c5\u03bd\u03b5\u03c0\u03ae \u03ae \u03bf\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03b7\u03bc\u03ac\u03bd\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c2, \u03bf \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03b4\u03bf\u03bc\u03ae.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03c1\u03bf\u03cb\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03c0\u03b9\u03bf \u03c0\u03b5\u03b6\u03ae \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf: \u03ba\u03bf\u03b9\u03bd\u03ad\u03c2 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u03ba\u03b1\u03b8\u03b1\u03c1\u03bf\u03af \u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af, lineage \u03ba\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac timestamps. \u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/schemarouter-ai-agents-field-aware-rag\/\">SchemaRouter \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03c9\u03bd \u03c3\u03c9\u03c3\u03c4\u03ce\u03bd \u03c0\u03b5\u03b4\u03af\u03c9\u03bd \u03b1\u03c0\u03cc AI agents<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf: \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf schema, \u03c0\u03bf\u03b9\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af.<\/p>\n<h2 id=\"pente-embeddings\">\u039f\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd PentE embeddings<\/h2>\n<p>\u03a4\u03bf PentE \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c9\u03c2 \u03ad\u03bd\u03b1\u03bd \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ae \u03ba\u03c9\u03b4\u03b9\u03ba\u03cc. \u03a3\u03c5\u03bd\u03b5\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2: \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae, \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5 \u03c4\u03bf\u03bd \u03cc\u03b3\u03ba\u03bf. \u0388\u03bd\u03b1 SKU, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b1 attributes \u03c4\u03bf\u03c5, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03c4\u03bf\u03c5, \u03c4\u03b1 \u03ba\u03b1\u03bb\u03ac\u03b8\u03b9\u03b1 \u03c3\u03c4\u03b1 \u03bf\u03c0\u03bf\u03af\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9, \u03c4\u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03bf\u03c7\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03bf\u03c7\u03ae\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03b5 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03b1.<\/p>\n<p>\u0397 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03cc\u03c8\u03b7 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1. \u0397 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c3\u03c4\u03bf\u03bd \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf. \u0397 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c0\u03cc\u03c4\u03b5 \u03c3\u03c5\u03bd\u03ad\u03b2\u03b7 \u03ba\u03ac\u03c4\u03b9. \u0397 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1 \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03bd\u03b1 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b5\u03af\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2. \u0397 \u03cc\u03c8\u03b7 \u03cc\u03b3\u03ba\u03bf\u03c5 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2. \u0397 \u03c3\u03c5\u03bd\u03ad\u03bd\u03c9\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd \u03bc\u03b5\u03c1\u03ce\u03bd \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc embedding.<\/p>\n<p>\u0393\u03b9\u03b1 e-commerce \u03ba\u03b1\u03b9 marketing, \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03bf \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc retail benchmark. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 flat feature vector \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c1\u03cc\u03bb\u03bf \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9, \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf, \u03c4\u03bf \u03ba\u03b1\u03bb\u03ac\u03b8\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7.<\/p>\n<h2 id=\"sparse-relational-attention\">Sparse relational attention \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/h2>\n<p>\u0397 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 self-attention \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ac\u03bb\u03bb\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03c4\u03b5\u03c4\u03c1\u03b1\u03b3\u03c9\u03bd\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03bf\u03bd\u03c4\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd. \u03a4\u03bf RHT \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af relational mask \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03ad\u03c7\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ac \u03c4\u03b7\u03c2. \u0393\u03b9\u03b1 edge-list \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bc\u03b5 n \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03ad\u03c3\u03bf \u03b2\u03b1\u03b8\u03bc\u03cc k, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03af\u03bd\u03bf\u03c5\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf O(n\u00b7k\u00b7d) \u03ba\u03b1\u03b9 \u03c7\u03ce\u03c1\u03bf O(n\u00b7k), \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 O(n\u00b2\u00b7d) \u03ba\u03b1\u03b9 O(n\u00b2) \u03c3\u03c4\u03b7 dense attention.<\/p>\n<p>\u03a4\u03bf \u03cc\u03c1\u03b9\u03bf \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03bd \u03c0\u03c5\u03c1\u03ae\u03bd\u03b1 \u03c4\u03bf\u03c5 attention operator. \u0394\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf profiling \u03ad\u03c9\u03c2 \u03c4\u03bf deployment. \u0397 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c4\u03bf\u03c5 \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5, \u03bf \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc\u03c2 PentE embeddings, \u03b7 \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03ba\u03c1\u03c5\u03c6\u03ce\u03bd \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c5\u03bd\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 pipeline \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03b7\u03c4\u03b9\u03ba\u03ac. \u0391\u03bd \u03bf \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03b3\u03af\u03bd\u03b5\u03b9 \u03c0\u03bf\u03bb\u03cd \u03c0\u03c5\u03ba\u03bd\u03cc\u03c2, \u03bf \u03bc\u03ad\u03c3\u03bf\u03c2 \u03b2\u03b1\u03b8\u03bc\u03cc\u03c2 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1.<\/p>\n<div class=\"td-article-note\"><strong>\u03a4\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c7\u03b5\u03b8\u03b5\u03af \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1:<\/strong> \u03c4\u03bf O(n\u00b7k) \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03cc\u03bb\u03bf \u03c4\u03bf RHT pipeline \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c6\u03b8\u03b7\u03bd\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 SQL \u03ae XGBoost \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 end-to-end \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03cc\u03b3\u03ba\u03bf, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc schema \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc hardware.<\/div>\n<h2 id=\"okto-vimata\">\u039f\u03ba\u03c4\u03ce \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf profiling \u03c3\u03c4\u03bf monitoring<\/h2>\n<p>\u0397 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bf\u03ba\u03c4\u03ce \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1. \u039e\u03b5\u03ba\u03b9\u03bd\u03ac \u03bc\u03b5 predictive meta-profiling, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c0\u03b9\u03bd\u03ac\u03ba\u03c9\u03bd, \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ce\u03bd, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd, \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd. \u03a3\u03c5\u03bd\u03b5\u03c7\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c0\u03ad\u03bd\u03c4\u03b5 \u03cc\u03c8\u03b5\u03c9\u03bd \u03c3\u03c4\u03bf PentE. \u03a4\u03bf \u03c4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af relational contrastive learning \u03ce\u03c3\u03c4\u03b5 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b4\u03b5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b5\u03af\u03c2 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03c4\u03bf\u03cd\u03bd \u03c3\u03c5\u03bd\u03b5\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u03a4\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03cc graph rewiring, \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b7 \u03b4\u03b9\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7, federated multi-table learning \u03ba\u03b1\u03b9 operationalization \u03bc\u03b5 monitoring. \u0397 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03bc\u03ad\u03c1\u03b7 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7\u03c2. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 relational-discovery \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bd \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03ba\u03b1\u03b9 \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af, \u03b5\u03bd\u03ce \u03b7 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2 \u03b5\u03ba\u03ba\u03c1\u03b5\u03bc\u03b5\u03af.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u00ab\u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5\u00bb, \u00ab\u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5\u00bb \u03ba\u03b1\u03b9 \u00ab\u03b5\u03c0\u03b9\u03ba\u03c5\u03c1\u03ce\u03b8\u03b7\u03ba\u03b5\u00bb \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 AI \u03ad\u03c1\u03b3\u03bf. \u0388\u03bd\u03b1 pipeline \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b4\u03b5\u03af\u03ba\u03c4\u03b7 \u03c0\u03bf\u03c5 \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5.<\/p>\n<h2 id=\"synthea-benchmark\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf Synthea<\/h2>\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b7\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03b1\u03c1\u03c7\u03b5\u03af\u03b1 \u03c5\u03b3\u03b5\u03af\u03b1\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf Synthea. \u03a4\u03bf dataset \u03c0\u03bf\u03c5 \u03b4\u03b7\u03bc\u03b9\u03bf\u03cd\u03c1\u03b3\u03b7\u03c3\u03b1\u03bd \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 22.913 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2, 1.320.007 encounters, 821.371 condition records \u03ba\u03b1\u03b9 313 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03cd\u03c2 SNOMED CT. \u03a4\u03bf 77,32% \u03c4\u03c9\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03ce\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf 0,1% \u03c4\u03c9\u03bd encounters, \u03ac\u03c1\u03b1 \u03c4\u03bf task \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 long-tailed.<\/p>\n<p>\u039f \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 multi-label \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 condition codes \u03b1\u03bd\u03ac encounter. \u039f \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 train, validation \u03ba\u03b1\u03b9 test \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b1\u03c3\u03b8\u03b5\u03bd\u03bf\u03cd\u03c2 \u03bc\u03b5 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 70\/15\/15, \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd \u03b1\u03c3\u03b8\u03b5\u03bd\u03bf\u03cd\u03c2 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac splits. \u03a4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 random seeds, \u03b3\u03b9\u03b1 50 epochs, \u03bc\u03b5 embedding dimension 64 \u03ba\u03b1\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 attention heads.<\/p>\n<p>\u039f\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd flattened SQL + XGBoost, GraphSAGE \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 RHT. \u03a4\u03bf TGN \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 baseline \u03c3\u03c4\u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b7 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ad\u03bd\u03b1 \u03bd\u03bf\u03cd\u03bc\u03b5\u03c1\u03b1 \u03c9\u03c2 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1. \u039f\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 rare-category recall \u03c3\u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 10 \u03ba\u03b1\u03b9 50 predictions, macro-F1 \u03ba\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 embedding space.<\/p>\n<h2 id=\"apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u03a4\u03bf SQL + XGBoost \u03b5\u03af\u03c7\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b1 predictive metrics \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 benchmark: RCR@10 0,538, RCR@50 0,650 \u03ba\u03b1\u03b9 macro-F1 0,059. \u03a4\u03bf GraphSAGE \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 0,082, 0,176 \u03ba\u03b1\u03b9 0,005. \u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 RHT \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 0,035, 0,168 \u03ba\u03b1\u03b9 0,003. \u03a4\u03bf RHT \u03b4\u03b5\u03bd \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03c4\u03bf tabular baseline \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03c0\u03ac\u03bd\u03b9\u03c9\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03ce\u03bd \u03ae \u03c3\u03c4\u03bf macro-F1.<\/p>\n<p>\u0397 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03b7 \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 RHT \u03ae\u03c4\u03b1\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae: \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae embeddings 1,52 \u00b1 0,03. \u038c\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 M3, \u03b7 \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03c4\u03bf 1,00 \u00b1 0,00, \u03c4\u03bf \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03bf random baseline. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c4\u03bf\u03bd \u03c7\u03ce\u03c1\u03bf \u03c4\u03c9\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03ce\u03bd, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c5\u03c4\u03ae \u03b7 \u03b4\u03bf\u03bc\u03ae \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ac\u03c0\u03b7\u03ba\u03b5 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 predictive accuracy.<\/p>\n<div class=\"td-chart td-chart--metrics\" role=\"img\" aria-label=\"\u0392\u03b1\u03c3\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 benchmark Synthea: XGBoost RCR \u03c3\u03c4\u03b1 10 \u03af\u03c3\u03bf \u03bc\u03b5 0,538, XGBoost RCR \u03c3\u03c4\u03b1 50 \u03af\u03c3\u03bf \u03bc\u03b5 0,650, XGBoost macro-F1 \u03af\u03c3\u03bf \u03bc\u03b5 0,059, RHT RCR \u03c3\u03c4\u03b1 50 \u03af\u03c3\u03bf \u03bc\u03b5 0,168 \u03ba\u03b1\u03b9 RHT semantic coherence \u03af\u03c3\u03bf \u03bc\u03b5 1,52 \u03c3\u03c5\u03bd \u03ae \u03c0\u03bb\u03b7\u03bd 0,03\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03b9 \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03c3\u03c4\u03bf Synthea<\/p>\n<p class=\"td-chart-subtitle\">\u03a4\u03b1 predictive metrics \u03b5\u03c5\u03bd\u03cc\u03b7\u03c3\u03b1\u03bd \u03c4\u03bf SQL + XGBoost. \u0397 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b4\u03cd\u03bd\u03b1\u03bc\u03b7 \u03c4\u03bf\u03c5 RHT \u03ae\u03c4\u03b1\u03bd \u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b7 \u03c4\u03c9\u03bd embeddings, \u03cc\u03c7\u03b9 \u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid td-metric-grid--five-columns\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,538<\/span><span class=\"td-metric-label\">XGBoost RCR@10<\/span><span class=\"td-metric-note\">\u039a\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bd\u03ac\u03ba\u03bb\u03b7\u03c3\u03b7 \u03c3\u03c0\u03ac\u03bd\u03b9\u03c9\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03ce\u03bd \u03c3\u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 10<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,650<\/span><span class=\"td-metric-label\">XGBoost RCR@50<\/span><span class=\"td-metric-note\">\u03a5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03c4\u03bf\u03c5 benchmark \u03c3\u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 50<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,059<\/span><span class=\"td-metric-label\">XGBoost macro-F1<\/span><span class=\"td-metric-note\">\u039a\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b1\u03ba\u03cc\u03bc\u03b7 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc \u03bb\u03cc\u03b3\u03c9 class imbalance<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,168<\/span><span class=\"td-metric-label\">RHT RCR@50<\/span><span class=\"td-metric-note\">\u03a7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc XGBoost \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ce\u03c2 \u03b1\u03c0\u03cc GraphSAGE<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">1,52 \u00b1 0,03<\/span><span class=\"td-metric-label\">RHT coherence<\/span><span class=\"td-metric-note\">\u0399\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae embeddings<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03c7\u03b1\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03bf \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae. \u03a4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf predictive baseline \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1: \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd, \u03b5\u03c5\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03be\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7 \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd \u03ae \u03c0\u03b9\u03bf \u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ad\u03c2 relational context.<\/p>\n<h2 id=\"ablations-mimic\">\u03a4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03c4\u03b1 ablations \u03ba\u03b1\u03b9 \u03c4\u03bf MIMIC-IV demo<\/h2>\n<p>\u03a4\u03b1 ablations \u03b1\u03c0\u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ac \u03c4\u03b7 relational attention \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 M1, \u03c4\u03bf temporal embedding M2, \u03c4\u03b7\u03bd \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 M3 \u03ba\u03b1\u03b9 \u03c4\u03bf relational-discovery auxiliary loss M4. \u0397 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae: \u03c7\u03c9\u03c1\u03af\u03c2 M3 \u03c0\u03ad\u03c6\u03c4\u03b5\u03b9 \u03c3\u03c4\u03bf 1,00, \u03b5\u03bd\u03ce \u03c7\u03c9\u03c1\u03af\u03c2 M1, M2 \u03ae M4 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd 1,49 \u03ba\u03b1\u03b9 1,52. \u0391\u03c5\u03c4\u03cc \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03c4\u03bf\u03bd \u03c1\u03cc\u03bb\u03bf \u03c4\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd modules.<\/p>\n<p>\u03a3\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc local MIMIC-IV demo scalability pilot, \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b1\u03bd QUARTER, HALF \u03ba\u03b1\u03b9 FULL subsets \u03bc\u03b5 TinyEmbed \u03ba\u03b1\u03b9 Full configuration. \u03a3\u03c4\u03bf FULL subset \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b8\u03b7\u03ba\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 101.011,85 rows \u03b1\u03bd\u03ac \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03bf \u03b3\u03b9\u03b1 TinyEmbed \u03ba\u03b1\u03b9 74.918,17 \u03b3\u03b9\u03b1 Full, \u03bc\u03b5 compression ratio 4,09. \u039f\u03b9 \u03af\u03b4\u03b9\u03bf\u03b9 \u03b4\u03b9\u03b5\u03c5\u03ba\u03c1\u03b9\u03bd\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03b1 quality metrics \u03b3\u03b9\u03b1 \u03c5\u03c8\u03b7\u03bb\u03ae \u03c0\u03bb\u03b7\u03b8\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, relational discovery \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03bc\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b1 \u03ae \u03b1\u03c3\u03c4\u03b1\u03b8\u03ae.<\/p>\n<p>\u03a4\u03bf demo \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 end-to-end \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 computational scaling \u03c3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 harness. \u0394\u03b5\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u0397 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 \u03c3\u03c4\u03bf MIMIC-IV, \u03bc\u03b5 \u03c0\u03c5\u03ba\u03bd\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03b1\u03bd\u03cc\u03bd\u03b9\u03c3\u03c4\u03b5\u03c2 ICU \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2, \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03ba\u03ba\u03c1\u03b5\u03bc\u03ae\u03c2 \u03bc\u03ad\u03c7\u03c1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03bc\u03ad\u03c3\u03c9 PhysioNet.<\/p>\n<h2 id=\"oria\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/h2>\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u03a4\u03bf Synthea \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03bb\u03bb\u03ac \u03bc\u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b1\u03c1\u03c7\u03b5\u03af\u03b1 \u03b1\u03c3\u03b8\u03b5\u03bd\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf, \u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03bd\u03bf\u03c3\u03b7\u03c1\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03c5\u03ba\u03bd\u03ad\u03c2 \u03b1\u03ba\u03b1\u03bd\u03cc\u03bd\u03b9\u03c3\u03c4\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b9\u03b1\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u039c\u0395\u0398. \u0391\u03c5\u03c4\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03cc\u03c3\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bc\u03b5 \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03bd\u03bf\u03c5\u03bc\u03b5 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 relational-discovery \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf attention: \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc\u03c2 embeddings \u03ba\u03b1\u03b9 \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd. \u0397 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b7 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 hyperparameters. \u0391\u03bd \u03bf\u03b9 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03b4\u03b5\u03bd \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae \u03ae \u03b1\u03bd \u03bf\u03b9 \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03ba\u03b1\u03ba\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 identifiers, \u03c4\u03bf cross-table learning \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03b5\u03b9 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03be\u03af\u03b1.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, attention weights \u03ba\u03b1\u03b9 hyperedge activations \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd traceability, \u03cc\u03c7\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03b9\u03c4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03b5\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03bf\u03cd\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03bc\u03bf.<\/p>\n<h2 id=\"business-analytics\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 business \u03ba\u03b1\u03b9 e-commerce analytics<\/h2>\n<p>\u03a3\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf multi-table \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b5\u03c2, \u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1\u03c2, \u03c0\u03b5\u03bb\u03ac\u03c4\u03b5\u03c2, \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1, \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2, \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ad\u03c2, \u03b1\u03c0\u03bf\u03b8\u03ad\u03bc\u03b1\u03c4\u03b1, tickets \u03ba\u03b1\u03b9 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2. \u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 relational modeling \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03c4\u03ae\u03bb\u03b5\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03bc\u03b9\u03b1 \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ce\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ae, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1\u03c2, \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf. \u0388\u03bd\u03b1 flat report \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac. \u039c\u03b9\u03b1 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b5\u03c0\u03b9\u03b4\u03b9\u03ce\u03ba\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03c5\u03bd.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/analytics-platforms-data-decisions\/\">analytics platforms \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 marketing, CRM \u03ba\u03b1\u03b9 e-commerce \u03c3\u03b5 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2<\/a>. \u0391\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03b8\u03ad\u03c4\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03b9\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b7\u03c4\u03b9\u03ba\u03cc \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1: \u03c0\u03cc\u03c4\u03b5 \u03c4\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1 dashboards \u03ba\u03b1\u03b9 tabular models \u03c7\u03ac\u03bd\u03bf\u03c5\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03ae \u03c3\u03c4\u03b7\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03c9\u03bd;<\/p>\n<p>\u0397 \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b1\u03bd\u03c9\u03bc\u03b1\u03bb\u03af\u03b5\u03c2. \u03a4\u03bf \u03ac\u03c1\u03b8\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 <a href=\"https:\/\/twodots.gr\/llm-agents-chronoseires-provlepsi-elegchomeni-drasi\/\">LLM agents \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2<\/a> \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1. \u0395\u03b4\u03ce \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf: \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c3\u03c7\u03ad\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7.<\/p>\n<h2 id=\"pilot\">\u03a0\u03ce\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 multi-table pilot<\/h2>\n<p>\u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 RHT. \u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2: \u03c0\u03bf\u03b9\u03bf\u03b9 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ad\u03c7\u03bf\u03c5\u03bd, \u03c0\u03bf\u03b9\u03bf target \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7, \u03c0\u03bf\u03b9\u03b5\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bd\u03cc\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c7\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03ae\u03bc\u03b5\u03c1\u03b1 \u03ba\u03b1\u03c4\u03ac \u03c4\u03bf flattening. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac \u03ba\u03b1\u03b9 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac baselines.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 multi-table analytics pilot<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u03a3\u03c4\u03cc\u03c7\u03bf\u03c2<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03bc\u03af\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf outcome<\/strong>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03be\u03c4\u03b5 \u03ad\u03bd\u03b1 task, \u03cc\u03c0\u03c9\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2 \u03ae \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03b1\u03c3\u03c5\u03bd\u03ae\u03b8\u03b9\u03c3\u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1\u03c2, \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03b9\u03b4\u03b9\u03bf\u03ba\u03c4\u03ae\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Schema<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2, \u03ba\u03bb\u03b5\u03b9\u03b4\u03b9\u03ac \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03cc\u03c1\u03b9\u03b1<\/strong>\n<p>\u03a4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03c3\u03c4\u03b5 primary \u03ba\u03b1\u03b9 foreign keys, many-to-many \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2, event time, ingestion time \u03ba\u03b1\u03b9 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Baseline<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc SQL \u03ae XGBoost \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2<\/strong>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03b1\u03be\u03af\u03b1 \u03c3\u03b5 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, latency \u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Leakage<\/span><strong>\u039a\u03ac\u03bd\u03c4\u03b5 split \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf<\/strong>\n<p>\u0391\u03c0\u03bf\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03bf \u03af\u03b4\u03b9\u03bf\u03c2 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7\u03c2, \u03b7 \u03af\u03b4\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1 \u03ae \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Ablation<\/span><strong>\u0391\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b1\u03be\u03af\u03b1<\/strong>\n<p>\u0391\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03c4\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ce\u03bd, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac features \u03ae \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Cost<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf pipeline<\/strong>\n<p>\u03a3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 profiling, graph construction, training, inference, \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7 schema, \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7\u03c2 \u03c3\u03c5\u03bd\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Gate<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b9\u03c3\u03b7\u03c2 \u03ae \u03b4\u03b9\u03b1\u03ba\u03bf\u03c0\u03ae\u03c2<\/strong>\n<p>\u03a0\u03b5\u03c1\u03ac\u03c3\u03c4\u03b5 \u03c3\u03b5 production \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03c4\u03bf pilot \u03c5\u03c0\u03b5\u03c1\u03b2\u03b5\u03af \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03b7\u03bc\u03ad\u03bd\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03bf \u03c3\u03b5 \u03bd\u03ad\u03bf \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03bf.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 <a href=\"https:\/\/twodots.gr\/techniti-noimosyni-automation-ecommerce-nvh-testing\/\">\u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae AI automation \u03c3\u03c4\u03bf e-commerce<\/a> \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03ad\u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf use case \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc KPI. \u0388\u03bd\u03b1 relational model \u03b4\u03b5\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1\u00b7 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03bd\u03ad\u03bf\u03c5\u03c2 \u03c4\u03c1\u03cc\u03c0\u03bf\u03c5\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1.<\/p>\n<h2 id=\"production-metrics\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production<\/h2>\n<p>\u0397 predictive accuracy \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae. \u0388\u03bd\u03b1 production review \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac metrics \u03b3\u03b9\u03b1 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2, \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c3\u03c0\u03ac\u03bd\u03b9\u03c9\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd, \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03c7\u03c1\u03cc\u03bd\u03bf, latency, \u03bc\u03bd\u03ae\u03bc\u03b7, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03b1\u03bd\u03ad\u03c9\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03b7\u03b8\u03b5\u03af \u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<p>\u03a3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af orphan records, \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 cardinality, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 schema, \u03c3\u03c0\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 foreign keys, \u03ba\u03b1\u03b8\u03c5\u03c3\u03c4\u03b5\u03c1\u03b7\u03bc\u03ad\u03bd\u03b1 events \u03ba\u03b1\u03b9 drift \u03c3\u03c4\u03b7 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03ba\u03bc\u03ce\u03bd. \u03a3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1\u03c2 \u03bc\u03ad\u03c3\u03bf\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b7\u03c2. \u03a3\u03c4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd rollback, versioning \u03ba\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2 \u03c3\u03c4\u03bf \u03b1\u03c0\u03bb\u03bf\u03cd\u03c3\u03c4\u03b5\u03c1\u03bf baseline.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc metric \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b1\u03bd\u03ac \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u0391\u03bd \u03c4\u03bf RHT \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf embedding space \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 exploration \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc production model. \u0391\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b9\u03b1 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b1 \u03b1\u03bb\u03bb\u03ac \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03b7 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-title\"><strong>\u039c\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03c4\u03b5 relational AI \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf<\/strong><\/p>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03be\u03c4\u03b5 \u03c4\u03bf \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b4\u03bf\u03bc\u03ae \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c3\u03ae\u03bc\u03b1, \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc baseline \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af.<\/p>\n<\/div>\n<h2 id=\"symperasma\">\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 decision-makers<\/h2>\n<p>\u0397 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 RHT \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c4\u03b7\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1\u03c2 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2. \u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03c9\u03c2 \u03c5\u03bb\u03b9\u03ba\u03cc \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03bd\u03b1 \u03b9\u03c3\u03bf\u03c0\u03b5\u03b4\u03c9\u03b8\u03b5\u03af, \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf \u03c9\u03c2 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf \u03bc\u03b1\u03b8\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf. \u0391\u03c5\u03c4\u03cc \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf \u03c0\u03bf\u03c5 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2: \u03bc\u03b9\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac, \u03bc\u03b9\u03b1 \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1 \u03ae \u03ad\u03bd\u03b1 \u03b1\u03af\u03c4\u03b7\u03bc\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2 \u03b5\u03be\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03bb\u03bb\u03b7\u03bb\u03bf\u03c5\u03c7\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae.<\/p>\n<p>\u0397 \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7. \u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03cc EHR benchmark, \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03bf asymptotic \u03cc\u03c1\u03b9\u03bf \u03b3\u03b9\u03b1 sparse attention \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf scalability pilot. \u0394\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b1\u03bd\u03ce\u03c4\u03b5\u03c1\u03b7 predictive \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03c4\u03bf XGBoost, \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 \u03ae \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc e-commerce benchmark.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf RHT \u03c9\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03cc pilot. \u0391\u03bd \u03c4\u03bf relational context \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03c0\u03bf\u03bb\u03cd\u03c4\u03b9\u03bc\u03bf, \u03b7 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03bf\u03af\u03be\u03b5\u03b9 \u03bd\u03ad\u03b5\u03c2 \u03b1\u03bd\u03b1\u03bb\u03cd\u03c3\u03b5\u03b9\u03c2. \u0391\u03bd \u03cc\u03c7\u03b9, \u03ad\u03bd\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf SQL, BI \u03ae tabular pipeline \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bc\u03b5 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">Automatiz\u0103ri opera\u021bionale \u0219i IA<\/p>\n<p class=\"td-service-cta-title\"><strong>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03c4\u03b1 \u03b4\u03b9\u03ac\u03c3\u03c0\u03b1\u03c1\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03c1\u03bf\u03ad\u03c2<\/strong><\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 e-commerce, ERP, CRM, marketing \u03ba\u03b1\u03b9 support \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae schemas, validation, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 pilots \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u00centreb\u0103ri frecvente<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Relational Hypergraph Transformer;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae multi-table learning \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c9\u03c2 \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af PentE embeddings \u03ba\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 attention \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ad\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c5\u03c0\u03b5\u03c1\u03b3\u03c1\u03ac\u03c6\u03bf \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03b1\u03c0\u03bb\u03cc \u03b3\u03c1\u03ac\u03c6\u03b7\u03bc\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03bc\u03af\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b1\u03ba\u03bc\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03b4\u03cd\u03bf \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03bc\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1, \u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03ae \u03ba\u03b1\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03bf\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 PentE;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae, \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ae, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5 \u03c4\u03bf\u03bd \u03cc\u03b3\u03ba\u03bf \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1. \u03a3\u03c5\u03bd\u03b5\u03bd\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ce\u03c3\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03c4\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039a\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03c4\u03bf RHT \u03c4\u03bf XGBoost;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03c4\u03b1 predictive metrics \u03c4\u03bf\u03c5 Synthea benchmark. \u03a4\u03bf XGBoost \u03b5\u03af\u03c7\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 RCR@10, RCR@50 \u03ba\u03b1\u03b9 macro-F1, \u03b5\u03bd\u03ce \u03c4\u03bf RHT \u03b5\u03af\u03c7\u03b5 \u03c4\u03b7\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae embeddings.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 O(n\u00b7k);<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf sparse attention operator \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03b5\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ad\u03c2, \u03bc\u03b5 \u03bc\u03ad\u03c3\u03bf \u03b2\u03b1\u03b8\u03bc\u03cc k, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03ac\u03bb\u03bb\u03b5\u03c2. \u0394\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03cc\u03bb\u03bf \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5 pipeline.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 Synthea. \u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 MIMIC-IV demo \u03b3\u03b9\u03b1 scalability, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 ICU \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2 \u03b5\u03ba\u03ba\u03c1\u03b5\u03bc\u03b5\u03af.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 e-commerce;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 domain-specific pilot. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf e-commerce \u03c9\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc \u03c0\u03b5\u03b4\u03af\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 retail benchmark. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1 SQL, BI \u03ba\u03b1\u03b9 machine-learning baselines.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c4\u03b5 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af relational AI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc task \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ae \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf flattening \u03ba\u03b1\u03b9 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 identifiers, metadata, timestamps \u03ba\u03b1\u03b9 ground truth \u03b3\u03b9\u03b1 \u03b4\u03af\u03ba\u03b1\u03b9\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Surse<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.26149\" target=\"_blank\" rel=\"noopener noreferrer\">Lansiaux et al., Methodological and Conceptual Framework for 5D Multi-Table Analysis, arXiv:2608.26149<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/edlansiaux\/multitable-5D-analysis\" target=\"_blank\" rel=\"noopener noreferrer\">GitHub, multitable-5D-analysis reference implementation \u03ba\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03b1<\/a><\/li>\n<li><a href=\"https:\/\/synthetichealth.github.io\/about.html\" target=\"_blank\" rel=\"noopener noreferrer\">Synthea, \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03bf\u03c5 synthetic patient population simulator<\/a><\/li>\n<li><a href=\"https:\/\/physionet.org\/content\/mimiciv\/\" target=\"_blank\" rel=\"noopener noreferrer\">PhysioNet, MIMIC-IV Clinical Database<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf Relational Hypergraph Transformer \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2, \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c3\u03b5 multi-table \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf benchmark \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 pilot.<\/p>","protected":false},"author":1,"featured_media":113969,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[21855,3656,21856,7477,21854],"class_list":["post-105352","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-big-data","tag-data-analytics","tag-e-commerce-data","tag-machine-learning","tag-relational-ai"],"_links":{"self":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts\/105352","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/comments?post=105352"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts\/105352\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/media\/113969"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/media?parent=105352"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/categories?post=105352"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/tags?post=105352"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}