{"id":97835,"date":"2026-09-21T10:00:39","date_gmt":"2026-09-21T07:00:39","guid":{"rendered":"https:\/\/twodots.gr\/?p=97835"},"modified":"2026-09-21T10:00:39","modified_gmt":"2026-09-21T07:00:39","slug":"visadj-ai-eikona-se-grafo","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/visadj-ai-eikona-se-grafo\/","title":{"rendered":"VisAdj: \u03cc\u03c4\u03b1\u03bd \u03b7 AI \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b3\u03c1\u03ac\u03c6\u03bf"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ce\u03c4\u03b1:<\/strong> \u03c4\u03bf VisAdj \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bc\u03b9\u03b1 node-link \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03c3\u03b9\u03bc\u03bf \u03b3\u03c1\u03ac\u03c6\u03bf \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b2\u03c1\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03c2. \u0395\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2, \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03b9\u03b5\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c4\u03b7\u03c2.<\/p>\n<p>\u03a3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 benchmarks \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03b1\u03c5\u03c4\u03ae \u03b7 structured \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 Graph Isomorphism Rate \u03ba\u03b1\u03b9 Edge-F1 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 baselines. \u03a4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 pixels \u03ae \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c4\u03ad\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03bf\u03bc\u03ae: \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03bd \u03bf\u03b9 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c5 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#ti-einai-visadj\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf VisAdj \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bb\u03cd\u03bd\u03b5\u03b9<\/a><\/li>\n<li><a href=\"#pixels-kai-sxeseis\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 pixels \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c8\u03bf\u03c5\u03bd \u03bc\u03b9\u03b1 \u03c3\u03c7\u03ad\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#orio-statherou-knn\">\u03a4\u03bf \u03cc\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03bf\u03cd KNN<\/a><\/li>\n<li><a href=\"#architektoniki-dyo-roes\">\u0391\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2 \u03bc\u03b5 \u03b4\u03cd\u03bf \u03c1\u03bf\u03ad\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#asns-ypopsifies-akmes\">\u039f ASNS \u03ba\u03c1\u03b1\u03c4\u03ac \u03bb\u03af\u03b3\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2<\/a><\/li>\n<li><a href=\"#linegt-akmes-tokens\">\u039f\u03b9 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 tokens \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ba\u03bf\u03b9\u03bd\u03bf\u03cd<\/a><\/li>\n<li><a href=\"#ekpaidefsi-train-test-gap\">\u0395\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03b5\u03af \u03c4\u03bf train-test gap<\/a><\/li>\n<li><a href=\"#datasets-kai-metrikes\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 datasets \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#apotelesmata-visadj\">\u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u2014 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd<\/a><\/li>\n<li><a href=\"#taxytita-kai-ablation\">\u03a4\u03b1\u03c7\u03cd\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 ablation: \u03b1\u03c0\u03cc \u03c0\u03bf\u03cd \u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#efarmoges-image-to-graph\">\u0391\u03c0\u03cc \u03b4\u03c1\u03cc\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03b3\u03b3\u03b5\u03af\u03b1 \u03c3\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b4\u03bf\u03bc\u03ae<\/a><\/li>\n<li><a href=\"#failure-cases\">\u03a4\u03b1 failure cases \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03cc\u03c1\u03b9\u03bf \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#epixeirisiaki-axiologisi\">\u03a0\u03ce\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 image-to-graph \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"ti-einai-visadj\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf VisAdj \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bb\u03cd\u03bd\u03b5\u03b9<\/h2>\n<p>\u03a4\u03bf VisAdj \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc framework \u03c4\u03c9\u03bd Jiahao Xie \u03ba\u03b1\u03b9 Guangmo Tong \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03b7 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5, \u03bc\u03b7 \u03c3\u03c4\u03b1\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 raster node-link \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u0397 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b1\u03c0\u03b5\u03b9\u03ba\u03cc\u03bd\u03b9\u03c3\u03b7 \u03b4\u03c1\u03cc\u03bc\u03c9\u03bd, \u03b1\u03b3\u03b3\u03b5\u03af\u03c9\u03bd \u03ae \u03b3\u03b5\u03bd\u03b9\u03ba\u03bf\u03cd \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5. \u0397 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03bb\u03bb\u03bf \u03ad\u03bd\u03b1 image mask, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c4\u03c9\u03bd \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bf \u03b4\u03c5\u03b1\u03b4\u03b9\u03ba\u03cc\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bd\u03af\u03b1\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b4\u03c5\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2. \u0388\u03bd\u03b1 bitmap \u03c0\u03c1\u03bf\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7, \u03b5\u03bd\u03ce \u03ad\u03bd\u03b1\u03c2 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03c7\u03b8\u03b5\u03af queries, \u03bd\u03b1 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ce\u03bd \u03ae \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b5\u03af\u03c3\u03bf\u03b4\u03bf\u03c2 \u03c3\u03b5 graph-learning \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b4\u03b5\u03ba\u03c4\u03ae \u03c3\u03c4\u03bf CIKM 2026 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf repository \u03bc\u03b5 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, \u03b4\u03bf\u03bc\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b1\u03bd\u03ae\u03ba\u03b5\u03b9 \u03c3\u03c4\u03bf computer vision, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03bd \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1. \u038c\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 <a href=\"https:\/\/twodots.gr\/clip-perifereiaki-geolocalization-prosarmogi-skinis\/\">\u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03b5 \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc context<\/a>, \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf downstream task. \u0395\u03b4\u03ce \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c3\u03c5\u03bd\u03b4\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<h2 id=\"pixels-kai-sxeseis\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 pixels \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c8\u03bf\u03c5\u03bd \u03bc\u03b9\u03b1 \u03c3\u03c7\u03ad\u03c3\u03b7<\/h2>\n<p>\u039c\u03b9\u03b1 \u03b1\u03c7\u03bd\u03ae \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7. \u0394\u03cd\u03bf \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03ad\u03c2 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7 \u03c3\u03c5\u03bd\u03b1\u03bd\u03c4\u03ce\u03bd\u03c4\u03b1\u03b9. \u039c\u03b9\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c3\u03c4\u03b1\u03cd\u03c1\u03c9\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03ba\u03cc\u03bc\u03b2\u03bf \u03b5\u03bd\u03ce \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03ad\u03c6\u03c5\u03c1\u03b1, \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ae \u03b1\u03c0\u03bb\u03cc crossing. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03b5\u03b3\u03b3\u03cd\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a0\u03bf\u03bb\u03bb\u03ac pipelines \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03bf\u03c5\u03bd \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b5\u03bd\u03ce\u03c3\u03bf\u03c5\u03bd \u03bb\u03ac\u03b8\u03bf\u03c2 \u03b6\u03b5\u03cd\u03b3\u03b7. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c3\u03c4\u03bf Node-F1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c3\u03c4\u03bf Edge-F1. \u03a3\u03c4\u03bf synthetic dataset, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03c4\u03bf VisAdj \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 Node-F1 99,23%, \u03cc\u03bc\u03c9\u03c2 \u03c4\u03bf \u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf Edge-F1: 95,09% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 59,14% \u03c4\u03bf\u03c5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5 baseline \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c4\u03ae\u03bb\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bc\u03b9\u03b1\u03c2 pixel-first \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2: \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cc heatmap \u03ae mask \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b1. \u0391\u03bd \u03bc\u03b9\u03b1 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03b7 \u03b1\u03ba\u03bc\u03ae \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 shortcut \u03ae \u03b1\u03bd \u03bc\u03b9\u03b1 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7 \u03b1\u03ba\u03bc\u03ae \u03ba\u03cc\u03c8\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03cc\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03b7 \u03b4\u03bf\u03bc\u03ae \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae.<\/p>\n<h2 id=\"orio-statherou-knn\">\u03a4\u03bf \u03cc\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03bf\u03cd KNN<\/h2>\n<p>\u039c\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03bb\u03cd\u03c3\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03cc\u03bc\u03b2\u03bf \u03bc\u03b5 \u03c4\u03bf\u03c5\u03c2 <em>K<\/em> \u03c0\u03bb\u03b7\u03c3\u03b9\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03b3\u03b5\u03af\u03c4\u03bf\u03bd\u03ad\u03c2 \u03c4\u03bf\u03c5. \u03a4\u03bf KNN \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03af\u03b4\u03b9\u03bf <em>K<\/em> \u03b4\u03b5\u03bd \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u039c\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ac \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b3\u03b5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd classifier \u03bc\u03b5 \u03b1\u03c0\u03af\u03b8\u03b1\u03bd\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf.<\/p>\n<p>\u0397 \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b1 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b5\u03bd\u03c4\u03bf\u03bd\u03cc\u03c4\u03b5\u03c1\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd. \u03a4\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03bf\u03b4\u03b9\u03ba\u03ac \u03b4\u03af\u03ba\u03c4\u03c5\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ac \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1, \u03b5\u03bd\u03ce \u03b3\u03b5\u03bd\u03b9\u03ba\u03bf\u03af \u03b3\u03c1\u03ac\u03c6\u03bf\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd crossings, \u03bc\u03b1\u03ba\u03c1\u03b9\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03cd\u03c2 \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ae \u03bc\u03bf\u03c1\u03c6\u03ae <a href=\"https:\/\/twodots.gr\/geographic-domain-shift-ai-modelo-se-nees-agores\/\">domain shift<\/a>: \u03bc\u03b9\u03b1 \u03b5\u03c5\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03bf\u03c5 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03b4\u03b5\u03bd \u03c4\u03b1\u03be\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">\u03a3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc KNN<\/p>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03ce\u03bd \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd. \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03cc, \u03b1\u03bb\u03bb\u03ac \u03c7\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03ae \u03b5\u03b9\u03c3\u03ac\u03b3\u03b5\u03b9 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03bf\u03c5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0393\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03b5\u03c5\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae<\/span><span class=\"td-badge\">\u03a3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc K<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">ASNS<\/p>\n<p>\u039c\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03bf\u03cd descriptor \u03ba\u03b1\u03b9 global context, \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 sparse attention \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2 \u03bc\u03b5 \u03c3\u03c4\u03cc\u03c7\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc recall.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Adaptive sampling<\/span><span class=\"td-badge\">Sparse<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">LineGT<\/p>\n<p>\u03a0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03c9\u03c2 tokens \u03ba\u03b1\u03b9 \u03bc\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b1\u03ba\u03bc\u03ce\u03bd \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 endpoint.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Joint reasoning<\/span><span class=\"td-badge\">Incident edges<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"architektoniki-dyo-roes\">\u0391\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2 \u03bc\u03b5 \u03b4\u03cd\u03bf \u03c1\u03bf\u03ad\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2<\/h2>\n<p>\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf vision foundation encoder, \u03bc\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b1 SAM, SAM2 \u03ba\u03b1\u03b9 SAM3. \u039f\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c1\u03bf\u03ad\u03c2. \u0397 local \u03c1\u03bf\u03ae \u03ba\u03c1\u03b1\u03c4\u03ac \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd. \u0397 global \u03c1\u03bf\u03ae \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf receptive field \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b4\u03b9\u03ac\u03c4\u03b1\u03be\u03b7.<\/p>\n<p>\u039f node detector \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03c5\u03ba\u03bd\u03cc \u03c7\u03ac\u03c1\u03c4\u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03b1\u03bd\u03ac pixel, \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac maxima \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc threshold, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af non-maximum suppression \u03ce\u03c3\u03c4\u03b5 \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03ad\u03c2 \u03b1\u03bd\u03b9\u03c7\u03bd\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bc\u03b5\u03c4\u03c1\u03ce\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03c0\u03bb\u03ac \u03ba\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 soft-argmax \u03b3\u03b9\u03b1 \u03c5\u03c0\u03bf-pixel \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7. \u0391\u03c0\u03cc \u03c4\u03b7\u03bd local feature map \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b5\u03af descriptor \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03cc\u03bc\u03b2\u03bf. \u0397 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c6\u03ac\u03c3\u03b7 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03c4\u03c3\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf\u03c5 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5.<\/p>\n<p>\u03a3\u03c4\u03b7 global \u03c1\u03bf\u03ae \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03bd\u03c4\u03b1\u03b9 learnable topology tokens. \u039c\u03ad\u03c3\u03c9 self-attention \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03b1\u03c0\u03cc \u03cc\u03bb\u03b7 \u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc context \u03c3\u03c4\u03b1 spatial tokens. \u039c\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2 \u03c4\u03b1 topology tokens \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9, \u03b1\u03c6\u03ae\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03bc\u03b9\u03b1 global map \u03b5\u03bc\u03c0\u03bb\u03bf\u03c5\u03c4\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"asns-ypopsifies-akmes\">\u039f ASNS \u03ba\u03c1\u03b1\u03c4\u03ac \u03bb\u03af\u03b3\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2<\/h2>\n<p>\u039f Attention-Sparse Neighbor Sampler, \u03ae ASNS, \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b7 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b6\u03b5\u03c5\u03b3\u03ce\u03bd \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf local descriptor \u03c4\u03bf\u03c5 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03b5 global context \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b7\u03bc\u03ad\u03bd\u03bf \u03c3\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ac\u03bb\u03bb\u03bf\u03c5. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af entmax, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae\u03c2 \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b1\u03c1\u03b1\u03b9\u03ae, \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2 \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03bf\u03c5\u03c2 <em>K<\/em> \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2 \u03b1\u03bd\u03ac \u03ba\u03cc\u03bc\u03b2\u03bf.<\/p>\n<p>\u039f \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03b9\u03c3\u03c4\u03b5\u03af \u03c4\u03b5\u03bb\u03b5\u03c3\u03af\u03b4\u03b9\u03ba\u03b1 \u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03ba\u03bc\u03ae. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b7\u03b8\u03b5\u03af \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd \u03bc\u03b5 \u03c5\u03c8\u03b7\u03bb\u03ae \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03c9\u03bd \u03b1\u03bb\u03b7\u03b8\u03b9\u03bd\u03ce\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03c9\u03bd. \u0391\u03bd \u03bc\u03b9\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03ba\u03bc\u03ae \u03ba\u03bf\u03c0\u03b5\u03af \u03b5\u03b4\u03ce, \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf\u03c2 classifier \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9. \u0391\u03bd \u03bc\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c0\u03ac\u03c1\u03b1 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2, \u03c4\u03bf structured reasoning \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf.<\/p>\n<p>\u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1\u03c2 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf trade-off. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd <em>K<\/em>=8 \u03c3\u03c4\u03bf Toulouse \u03ba\u03b1\u03b9 <em>K<\/em>=12 \u03c3\u03c4\u03b1 \u03ac\u03bb\u03bb\u03b1 datasets, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03b9 \u03c4\u03bf\u03c5 Toulouse \u03b5\u03af\u03c7\u03b1\u03bd \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03b3\u03b5\u03af\u03c4\u03bf\u03bd\u03b5\u03c2. \u0393\u03b9\u03b1 \u03c4\u03bf entmax, \u03b7 \u03c4\u03b9\u03bc\u03ae 1,5 \u03ad\u03b4\u03c9\u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 Graph Isomorphism Rate, \u03c7\u03c9\u03c1\u03af\u03c2 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03bf \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae.<\/p>\n<h2 id=\"linegt-akmes-tokens\">\u039f\u03b9 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 tokens \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ba\u03bf\u03b9\u03bd\u03bf\u03cd<\/h2>\n<p>\u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2, \u03c4\u03bf VisAdj \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac, \u03c7\u03c9\u03c1\u03b9\u03ba\u03ac, node-level \u03ba\u03b1\u03b9 topology-aware \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac. \u0397 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ae\u03ba\u03bf\u03c2 \u03bc\u03b1\u03b8\u03b7\u03bc\u03ad\u03bd\u03b7\u03c2 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7\u03c2 B\u00e9zier, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c5\u03b8\u03b5\u03af\u03b1 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b4\u03cd\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03c9\u03bd.<\/p>\n<p>\u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03bf LineGT \u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1 \u03b1\u03ba\u03bc\u03ae \u03c9\u03c2 token. \u03a4\u03bf attention mask \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b4\u03cd\u03bf \u03b1\u03ba\u03bc\u03ad\u03c2 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 endpoint. \u0388\u03c4\u03c3\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03ac\u03b8\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b1\u03bb\u03bb\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c3\u03cd\u03bc\u03b2\u03b1\u03c4\u03b7 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03b2\u03b1\u03b8\u03bc\u03cc \u03b5\u03bd\u03cc\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5 \u03ae \u03bc\u03b5 \u03c4\u03b7 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c1\u03b1\u03b9\u03ae. \u0395\u03c6\u03cc\u03c3\u03bf\u03bd \u03bf ASNS \u03ba\u03c1\u03b1\u03c4\u03ac \u03ad\u03c9\u03c2 <em>K<\/em> \u03b3\u03b5\u03af\u03c4\u03bf\u03bd\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03cc\u03bc\u03b2\u03bf, \u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 LineGT \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c4\u03bf \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03c4\u03c9\u03bd \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b5\u03c4\u03c1\u03b1\u03b3\u03c9\u03bd\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c4\u03bf <em>K<\/em>. \u0394\u03b5\u03bd \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 dense \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae\u03c2 \u03b1\u03ba\u03bc\u03ae\u03c2 \u03bc\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03b5\u03c2.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a4\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9:<\/strong> \u03c4\u03bf VisAdj \u03ad\u03b4\u03c9\u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 datasets \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 baselines \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03af\u03b4\u03b9\u03b1\u03c2 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b4\u03b9\u03ac\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1, \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ae \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc dataset.<\/aside>\n<h2 id=\"ekpaidefsi-train-test-gap\">\u0395\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03b5\u03af \u03c4\u03bf train-test gap<\/h2>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03c4\u03b7\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2, \u03c4\u03b1 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 node detector \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd \u03bd\u03b1 \u03bc\u03bf\u03bb\u03cd\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf edge supervision. \u03a4\u03bf VisAdj \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af teacher forcing: \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03b5\u03af \u03c4\u03bf edge module \u03bc\u03b5 ground-truth \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03bf\u03c0\u03bf\u03af\u03bf\u03c5\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 Gaussian noise. \u0388\u03c4\u03c3\u03b9 \u03b7 \u03b5\u03ba\u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b1\u03ba\u03bc\u03ce\u03bd \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c1\u03c1\u03ad\u03b5\u03b9 \u03c0\u03c1\u03b9\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03bf \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd.<\/p>\n<p>\u0391\u03bd \u03cc\u03bc\u03c9\u03c2 \u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03c3\u03b5 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c4\u03ad\u03bb\u03b5\u03b9\u03bf\u03c5\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2, \u03b8\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03c3\u03b5 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03cc \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf inference. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2 ground-truth \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ac \u03bc\u03ad\u03c7\u03c1\u03b9 \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd. \u039f\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03b9 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b2\u03ac\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b5\u03b3\u03b3\u03cd\u03c4\u03b7\u03c4\u03b1\u03c2 \u03bc\u03ad\u03c3\u03c9 Hungarian algorithm.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 decay length 30 epochs: \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03b5\u03be\u03ad\u03b8\u03b5\u03c4\u03b5 \u03c4\u03bf edge reasoning \u03c0\u03bf\u03bb\u03cd \u03bd\u03c9\u03c1\u03af\u03c2 \u03c3\u03b5 \u03b1\u03c3\u03c4\u03b1\u03b8\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2, \u03b5\u03bd\u03ce \u03b7 \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc 30 \u03c3\u03b5 40 \u03ad\u03b4\u03b9\u03bd\u03b5 \u03bf\u03c1\u03b9\u03b1\u03ba\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2. \u0397 \u03b1\u03c1\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 production ML: \u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03bb\u03b7\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b4\u03b9\u03b1\u03ba\u03ac \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 upstream module.<\/p>\n<h2 id=\"datasets-kai-metrikes\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 datasets \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 synthetic \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2, \u03c4\u03bf \u03bf\u03b4\u03b9\u03ba\u03cc Toulouse, \u03c4\u03bf US-Cities \u03ba\u03b1\u03b9 \u03c4\u03bf OCTA500. \u03a4\u03bf synthetic \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 planar \u03ba\u03b1\u03b9 non-planar, tree \u03ba\u03b1\u03b9 non-tree \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2 \u03bc\u03b5 crossings \u03ba\u03b1\u03b9 \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf Toulouse \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc, \u03b1\u03c1\u03b1\u03b9\u03cc \u03ba\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc \u03bf\u03b4\u03b9\u03ba\u03cc benchmark. \u03a4\u03bf US-Cities \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 20 \u03b1\u03bc\u03b5\u03c1\u03b9\u03ba\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03c0\u03cc\u03bb\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 clutter, occlusions \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf\u03c5\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2. \u03a4\u03bf OCTA500 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af patches \u03b1\u03c0\u03cc 500 OCTA scans \u03bc\u03b5 \u03bb\u03b5\u03c0\u03c4\u03ac, \u03c7\u03b1\u03bc\u03b7\u03bb\u03bf\u03cd contrast \u03b1\u03b3\u03b3\u03b5\u03b9\u03b1\u03ba\u03ac \u03b4\u03af\u03ba\u03c4\u03c5\u03b1.<\/p>\n<p>\u039f\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b2\u03ac\u03b8\u03bf\u03c2. \u0397 Graph Isomorphism Rate, \u03ae GIR, \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03c4\u03c9\u03bd \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd \u03cc\u03c0\u03bf\u03c5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c2 \u03bf \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b9\u03c3\u03cc\u03bc\u03bf\u03c1\u03c6\u03bf\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc. \u0397 Graph Edit Distance \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03cc\u03c3\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b1\u03ba\u03bc\u03ce\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9. \u03a4\u03bf TOPO \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ad\u03c2 \u03b4\u03cd\u03bf hops, \u03b5\u03bd\u03ce Node-F1 \u03ba\u03b1\u03b9 Edge-F1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b4\u03c5\u03b1\u03b4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03b4\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u0397 \u03c0\u03bf\u03bb\u03c5\u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c0\u03bb\u03b1\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc leaderboard. \u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc Edge-F1 \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03bb\u03af\u03b3\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae. \u0397 \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af <a href=\"https:\/\/twodots.gr\/ai-benchmark-harness-allazei-nikiti\/\">\u03c4\u03bf evaluation harness \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf\u03bd \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae \u03b5\u03bd\u03cc\u03c2 AI benchmark<\/a>: \u03b7 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bd\u03b1\u03ba\u03bb\u03ac \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc,\u03c4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03ba\u03bf\u03bb\u03bf \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b7\u03b8\u03b5\u03af.<\/p>\n<h2 id=\"apotelesmata-visadj\">\u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u2014 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd<\/h2>\n<p>\u03a4\u03bf VisAdj \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 datasets \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2. \u03a3\u03c4\u03bf synthetic dataset \u03b7 GIR \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 53,79% \u03c4\u03bf\u03c5 Any2Graph \u03c3\u03b5 73,02%. \u03a3\u03c4\u03bf Toulouse \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 94,38% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 93,45% \u03c4\u03bf\u03c5 Any2Graph. \u03a3\u03c4\u03bf US-Cities \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 68,57% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 58,31% \u03c4\u03bf\u03c5 G-SAM-Road++, \u03b5\u03bd\u03ce \u03c3\u03c4\u03bf OCTA500 \u03ba\u03b1\u03c4\u03ad\u03b3\u03c1\u03b1\u03c8\u03b5 64,98% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 51,76% \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 baseline.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">VisAdj: \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c5 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5<\/p>\n<p class=\"td-chart-title\">Graph Isomorphism Rate \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 benchmarks<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03ba\u03cd\u03c1\u03b9\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c7\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">73,02%<\/span><span class=\"td-metric-label\">Synthetic: \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf\u03b9 \u03b3\u03c1\u03ac\u03c6\u03bf\u03b9, crossings \u03ba\u03b1\u03b9 \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">94,38%<\/span><span class=\"td-metric-label\">Toulouse: \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac, \u03b1\u03c1\u03b1\u03b9\u03ac \u03bf\u03b4\u03b9\u03ba\u03ac \u03b4\u03af\u03ba\u03c4\u03c5\u03b1<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">68,57%<\/span><span class=\"td-metric-label\">US-Cities: clutter, occlusions \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03b9<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">64,98%<\/span><span class=\"td-metric-label\">OCTA500: \u03bb\u03b5\u03c0\u03c4\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03bf\u03cd contrast \u03b4\u03b9\u03b1\u03ba\u03bb\u03b1\u03b4\u03ce\u03c3\u03b5\u03b9\u03c2<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a3\u03c4\u03bf Edge-F1, \u03bf\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c4\u03bf\u03c5 VisAdj \u03ae\u03c4\u03b1\u03bd 95,09%, 99,15%, 88,54% \u03ba\u03b1\u03b9 90,27%. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03bf\u03c5\u03bd \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03ac\u03bd\u03c9 \u03c4\u03c9\u03bd 15 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03c3\u03c4\u03b7 GIR \u03ba\u03b1\u03b9 \u03ac\u03bd\u03c9 \u03c4\u03c9\u03bd 8 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03c3\u03c4\u03bf Edge-F1 \u03c3\u03c4\u03b1 diverse benchmarks \u03c4\u03bf\u03c5\u03c2. \u039f\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03ae\u03c4\u03b1\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c4\u03c5\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03ba\u03bb\u03af\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c1\u03b9\u03ce\u03bd runs.<\/p>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7: \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 G-SAM-Road++, G-RNGDet++, Any2Graph \u03ba\u03b1\u03b9 Sat2Graph. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03b1, process maps, \u03b7\u03bb\u03b5\u03ba\u03c4\u03c1\u03b9\u03ba\u03ac \u03c3\u03c7\u03ad\u03b4\u03b9\u03b1 \u03ae \u03ba\u03ac\u03b8\u03b5 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1.<\/p>\n<aside class=\"td-article-note\"><strong>\u039a\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc \u03cc\u03c1\u03b9\u03bf:<\/strong> \u03c4\u03bf OCTA500 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 benchmark \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b1\u03b3\u03b3\u03b5\u03b9\u03b1\u03ba\u03bf\u03cd \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7, \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03ae \u03c1\u03c5\u03b8\u03bc\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03cc\u03c1\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc vision model \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/ai-screening-karkinos-stomatos-mobilevitv2\/\">\u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc screening benchmark<\/a>: \u03b7 engineering \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b5\u03c4\u03bf\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/aside>\n<h2 id=\"taxytita-kai-ablation\">\u03a4\u03b1\u03c7\u03cd\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 ablation: \u03b1\u03c0\u03cc \u03c0\u03bf\u03cd \u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf US-Cities, \u03bc\u03b5 batch size 1 \u03ba\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ad\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2, \u03c4\u03bf VisAdj \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 63,17 ms \u03b1\u03bd\u03ac \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 15,83 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c4\u03bf \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03bf. \u03a4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03c5\u03bc\u03ac\u03bd\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03c0\u03cc 88,18 \u03ad\u03c9\u03c2 269,54 ms \u03b1\u03bd\u03ac \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03c5\u03bd \u03c4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03bf sparse candidate set \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf attention \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5\u03c4\u03b1\u03be\u03cd incident candidate edges.<\/p>\n<p>\u03a4\u03bf ablation \u03c6\u03c9\u03c4\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03b2\u03bf\u03bb\u03ae \u03c4\u03c9\u03bd modules. \u03a3\u03c4\u03bf synthetic dataset, \u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 LineGT \u03b1\u03c0\u03cc \u03c4\u03c5\u03c0\u03b9\u03ba\u03cc graph transformer \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7 GIR \u03b1\u03c0\u03cc 73,02% \u03c3\u03b5 54,43% \u03ba\u03b1\u03b9 \u03c4\u03bf Edge-F1 \u03b1\u03c0\u03cc 95,09% \u03c3\u03b5 72,63%. \u0397 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 ASNS \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc KNN \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7 GIR \u03c3\u03b5 63,11% \u03ba\u03b1\u03b9 \u03c4\u03bf TOPO-F1 \u03b1\u03c0\u03cc 98,72% \u03c3\u03b5 86,47%.<\/p>\n<p>\u0397 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 visual, spatial \u03ae global topology features \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf. \u03a0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1, \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03b9 vision encoders \u03b1\u03cd\u03be\u03b7\u03c3\u03b1\u03bd \u03c4\u03b7 GIR \u03c3\u03c4\u03b1\u03b4\u03b9\u03b1\u03ba\u03ac, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c3\u03c4\u03bf TOPO-F1. \u03a4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9, \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03c4\u03bf bottleneck \u03bc\u03b5\u03c4\u03b1\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf graph-structure reasoning.<\/p>\n<h2 id=\"efarmoges-image-to-graph\">\u0391\u03c0\u03cc \u03b4\u03c1\u03cc\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03b3\u03b3\u03b5\u03af\u03b1 \u03c3\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b4\u03bf\u03bc\u03ae<\/h2>\n<p>\u03a3\u03c4\u03b1 qualitative examples, \u03c4\u03bf VisAdj \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 synthetic \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2, \u03b1\u03bd\u03b1\u03ba\u03c4\u03ac \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03b4\u03c1\u03cc\u03bc\u03c9\u03bd \u03c3\u03b5 \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03ac \u03ae \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 occluded \u03c4\u03bc\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 shortcuts \u03c3\u03b5 \u03b1\u03b3\u03b3\u03b5\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03ba\u03bb\u03b1\u03b4\u03ce\u03c3\u03b5\u03b9\u03c2. \u03a9\u03c2 plug-in graph reasoning module \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ad\u03c3\u03c4\u03b7\u03c3\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 SAM-Road++ \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd \u03bf\u03b4\u03b9\u03ba\u03ae \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03b5 SpaceNet \u03ba\u03b1\u03b9 US-Cities \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c4\u03bf mask: \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ac \u03b4\u03af\u03ba\u03c4\u03c5\u03b1, infrastructure maps \u03ae \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03bf\u03cd\u03bd \u03c3\u03b5 queryable \u03b4\u03bf\u03bc\u03ae. \u03a3\u03b5 \u03c0\u03b9\u03bf \u03b1\u03c6\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b7 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03bc\u03b5 <a href=\"https:\/\/twodots.gr\/fred-pos-knowledge-graphs-fotizoun-dedomena-ai\/\">knowledge graphs \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03bd\u03bf\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 VisAdj. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ce\u03bd \u03bf\u03c1\u03b3\u03b1\u03bd\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03ac\u03c4\u03c9\u03bd \u03ae customer journey maps.<\/p>\n<p>\u0397 \u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03b2\u03bf\u03b7\u03b8\u03ac \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 domain-specific data preparation. \u03a4\u03bf repository \u03c0\u03b5\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2, adjacency matrices, \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac masks \u03b1\u03bd\u03ac split. \u0386\u03c1\u03b1, \u03ad\u03bd\u03b1 pilot \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03bf\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1\u03bd \u03c6\u03ac\u03ba\u03b5\u03bb\u03bf \u03bc\u03b5 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2.<\/p>\n<h2 id=\"failure-cases\">\u03a4\u03b1 failure cases \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03cc\u03c1\u03b9\u03bf \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2<\/h2>\n<p>\u03a4\u03bf VisAdj \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b1\u03ba\u03cc\u03bc\u03b7 \u03bd\u03b1 \u03b5\u03b9\u03c3\u03b1\u03b3\u03ac\u03b3\u03b5\u03b9 shortcut \u03ae \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03b1\u03c3\u03b8\u03b5\u03bd\u03ce\u03c2 \u03bf\u03c1\u03b1\u03c4\u03ae \u03b1\u03ba\u03bc\u03ae \u03c3\u03b5 \u03c0\u03c5\u03ba\u03bd\u03ac \u03c3\u03c5\u03bd\u03b4\u03b5\u03b4\u03b5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2, \u03b2\u03b1\u03c1\u03b9\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03b1\u03c5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03b1\u03bc\u03c6\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf failure \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ad\u03bd\u03b1\u03c2 \u03c7\u03b1\u03bc\u03ad\u03bd\u03bf\u03c2 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c2\u00b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03ba\u03bc\u03ae \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c1\u03b9\u03b1 scope. \u0397 \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03b7 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b7 \u03c3\u03c4\u03b1\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03b8\u03ad\u03c3\u03b7. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c9\u03c2 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03b9\u03b1 permutation-invariant \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03ba\u03b1\u03b9 \u03b5\u03c0\u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03bf \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bc\u03bc\u03b5\u03c3\u03b1 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bc\u03ad\u03bd\u03bf\u03c2, \u03cc\u03c0\u03c9\u03c2 scene graphs. \u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03b1\u03ba\u03cc\u03bc\u03b7.<\/p>\n<p>\u03a3\u03b5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 confidence handling, human review \u03ba\u03b1\u03b9 downstream validation. \u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc F1, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03c4\u03cd\u03c0\u03bf\u03c5 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2: \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03b5\u03b9\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03bd\u03b1 \u03c7\u03b1\u03b8\u03b5\u03af \u03bc\u03b9\u03b1 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03ae \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b5\u03b8\u03b5\u03af \u03bc\u03af\u03b1 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03b7;<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 image-to-graph AI<\/p>\n<p class=\"td-decision-title\">\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf downstream \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/p>\n<p>Go \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc domain dataset, node \u03ba\u03b1\u03b9 edge metrics, graph-level \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf, stress tests \u03c3\u03b5 crossings \u03ba\u03b1\u03b9 weak edges, evidence \u03b1\u03bd\u03ac \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03ba\u03b1\u03b9 human fallback. No-go \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03cc\u03bc\u03bf\u03c1\u03c6\u03bf mask \u03ae \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc F1 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03b4\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/div>\n<h2 id=\"epixeirisiaki-axiologisi\">\u03a0\u03ce\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 image-to-graph \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7<\/h2>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03c3\u03c4\u03b7\u03c1\u03b9\u03c7\u03b8\u03b5\u03af \u03c3\u03c4\u03bf\u03bd \u03b3\u03c1\u03ac\u03c6\u03bf. \u0391\u03bd \u03c4\u03bf downstream task \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03c1\u03b5\u03c3\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2, \u03bc\u03b9\u03b1 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7 \u03b3\u03ad\u03c6\u03c5\u03c1\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03bb\u03ac \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac segments. \u0391\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03cd \u03ae \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b9\u03b1\u03ba\u03bb\u03b1\u03b4\u03ce\u03c3\u03b5\u03c9\u03bd, \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03c9\u03bd shortcuts \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9. \u0388\u03bd\u03b1 benchmark \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2.<\/p>\n<p>\u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc test set \u03b1\u03bd\u03ac domain, \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7, contrast, \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03cd\u03c0\u03bf \u03b8\u03bf\u03c1\u03cd\u03b2\u03bf\u03c5. \u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c0\u03ae\u03c2 \u03bc\u03b5 \u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 <a href=\"https:\/\/twodots.gr\/flavourbench-axiopisti-axiologisi-ai\/\">FlavourBench \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 AI<\/a>: \u03c4\u03bf test \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c0\u03bf\u03cd \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf pipeline, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03b5 \u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1.<\/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 \u03c0\u03c1\u03b9\u03bd \u03ad\u03bd\u03b1 image-to-graph \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd \u03b3\u03c1\u03ac\u03c6\u03bf-\u03c3\u03c4\u03cc\u03c7\u03bf<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03b1\u03bd \u03bf\u03b9 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03ae \u03bc\u03b7, \u03b1\u03bd \u03ad\u03c7\u03bf\u03c5\u03bd \u03b2\u03ac\u03c1\u03b7, \u03c0\u03bf\u03b9\u03bf\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03bc\u03c6\u03b9\u03c3\u03b7\u03bc\u03af\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7 \u03b1\u03ba\u03bc\u03ae, \u03c4\u03bf \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03bf shortcut, \u03c4\u03bf\u03bd \u03b4\u03b9\u03c0\u03bb\u03cc \u03ba\u03cc\u03bc\u03b2\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b9\u03b1\u03ba\u03bb\u03ac\u03b4\u03c9\u03c3\u03b7 \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03b7 downstream \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac splits<\/strong>\n<p>\u039a\u03b1\u03bb\u03cd\u03c8\u03c4\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7, contrast, occlusions, \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1, crossings \u03ba\u03b1\u03b9 \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc domain \u03c7\u03c9\u03c1\u03af\u03c2 leakage \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 train \u03ba\u03b1\u03b9 test.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03c3\u03c4\u03b5 node \u03ba\u03b1\u03b9 edge metrics \u03bc\u03b5 local topology \u03ba\u03b1\u03b9 graph-level correctness, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cc F1 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u039a\u03ac\u03bd\u03c4\u03b5 stress test \u03c3\u03c4\u03bf candidate sampler<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 recall \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc classifier \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b1\u03bd \u03bf\u03b9 \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03ae \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03ba\u03cc\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03c6\u03c4\u03ac\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf LineGT.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc latency<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 end-to-end \u03c7\u03c1\u03cc\u03bd\u03bf \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 preprocessing, node detection, graph construction \u03ba\u03b1\u03b9 downstream query \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c3\u03b1\u03c2 hardware.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 evidence \u03ba\u03b1\u03b9 fallback<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03ba\u03bc\u03ae \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf confidence \u03c4\u03b7\u03c2, \u03bf\u03c1\u03af\u03c3\u03c4\u03b5 threshold \u03b1\u03bd\u03ac \u03c7\u03c1\u03ae\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b5\u03af\u03bb\u03c4\u03b5 \u03b1\u03bc\u03c6\u03af\u03b2\u03bf\u03bb\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf VisAdj \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7: \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd, global context \u03ba\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc edge reasoning \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03bf\u03c5\u03bd \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03bb\u03cd\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bc\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf vision backbone. \u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b8\u03b1 \u03ba\u03c1\u03b9\u03b8\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b1\u03c5\u03c4\u03ae \u03b7 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c4\u03b7\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, failures \u03ba\u03b1\u03b9 acceptance criteria.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf vision prototype \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf AI workflow<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, graph-level acceptance criteria, human review, evidence \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae integrations \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 computer-vision \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bd\u03b1 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03b5\u03af \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c5\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc<\/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\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf VisAdj;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc framework \u03c0\u03bf\u03c5 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2 \u03c3\u03b5 node-link \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03b3\u03b5\u03b9\u03c4\u03bd\u03af\u03b1\u03c3\u03ae\u03c2 \u03c4\u03bf\u03c5\u03c2. \u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03c9\u03bd \u03b1\u03ba\u03bc\u03ce\u03bd \u03bc\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc reasoning \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc KNN;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc K \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2, \u03b5\u03bd\u03ce \u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf K \u03b5\u03b9\u03c3\u03ac\u03b3\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7. \u03a4\u03bf ASNS \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf\u03b9 \u03ba\u03cc\u03bc\u03b2\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03bf\u03af \u03b1\u03c0\u03cc local \u03ba\u03b1\u03b9 global \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc context.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03bf line-graph transformer;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1 \u03b1\u03ba\u03bc\u03ae \u03c9\u03c2 token \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 attention \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b1\u03ba\u03bc\u03ce\u03bd \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 endpoint. \u0388\u03c4\u03c3\u03b9 \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c5\u03c0\u03cc\u03c8\u03b7 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03b7\u03c2 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae\u03c2 \u03b4\u03bf\u03bc\u03ae\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf VisAdj;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b5 synthetic \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2, \u03c3\u03c4\u03bf \u03bf\u03b4\u03b9\u03ba\u03cc Toulouse, \u03c3\u03c4\u03bf \u03b4\u03bf\u03c1\u03c5\u03c6\u03bf\u03c1\u03b9\u03ba\u03cc US-Cities \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf OCTA500 \u03bc\u03b5 \u03b1\u03b3\u03b3\u03b5\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2. \u03a4\u03b1 \u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf, crossings \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc domain.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03ae\u03c4\u03b1\u03bd \u03b7 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 Graph Isomorphism Rate;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf\u03bd \u03ba\u03cd\u03c1\u03b9\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd, \u03c4\u03bf VisAdj \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 94,38% \u03c3\u03c4\u03bf Toulouse. \u0397 \u03c4\u03b9\u03bc\u03ae \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf dataset \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0389\u03c4\u03b1\u03bd \u03b3\u03c1\u03b7\u03b3\u03bf\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03b1 baselines;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1\u03b9, \u03c3\u03c4\u03bf US-Cities \u03bc\u03b5 batch size 1 \u03ba\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ad\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 63,17 ms \u03b1\u03bd\u03ac \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 15,83 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c4\u03bf \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03cc\u03bb\u03b5\u03c0\u03c4\u03bf, \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b1\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03b3\u03b9\u03b1 \u03b1\u03b3\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf OCTA500 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03b1\u03c0\u03cc \u03b1\u03b3\u03b3\u03b5\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7, \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03ae \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03af \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03c5\u03ba\u03bd\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03b1\u03c5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b1\u03c3\u03b8\u03b5\u03bd\u03ce\u03c2 \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03b1\u03bc\u03c6\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03ad\u03c3\u03bf\u03c5\u03bd shortcuts \u03ae \u03c7\u03b1\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03ba\u03bc\u03ad\u03c2. \u03a4\u03bf scope \u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03b7 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2, \u03bc\u03b7 \u03c3\u03c4\u03b1\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03ad\u03b1 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 domain.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21825\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 VisAdj: Learning Adjacency Matrices from Node-Link Images<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/html\/2608.21825\" target=\"_blank\" rel=\"noopener\">arXiv HTML \u2014 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1, \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1, ablations \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c4\u03bf\u03c5 VisAdj<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/Jiahao-Xie-86\/VisAdj\" target=\"_blank\" rel=\"noopener\">\u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03bf VisAdj repository \u2014 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2, datasets, training \u03ba\u03b1\u03b9 evaluation<\/a><\/li>\n<li><a href=\"https:\/\/ieee-dataport.org\/open-access\/octa-500\" target=\"_blank\" rel=\"noopener\">IEEE DataPort \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c4\u03bf\u03c5 OCTA-500 dataset<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST AI Risk Management Framework \u2014 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf VisAdj \u03b1\u03bd\u03b1\u03ba\u03c4\u03ac \u03ba\u03cc\u03bc\u03b2\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc node-link \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03bc\u03b5 sparse \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03c9\u03bd \u03b1\u03ba\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 structured graph reasoning.<\/p>","protected":false},"author":1,"featured_media":98915,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[19230,20656,20658,20657,20561],"class_list":["post-97835","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-computer-vision","tag-graph-ai","tag-medical-imaging","tag-road-networks","tag-transformers"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=97835"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97835\/revisions"}],"predecessor-version":[{"id":98916,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97835\/revisions\/98916"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/98915"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=97835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=97835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=97835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}