{"id":12845,"date":"2025-02-12T15:53:21","date_gmt":"2025-02-12T06:53:21","guid":{"rendered":"https:\/\/blogs.mathworks.com\/japan-community\/?p=12845"},"modified":"2025-02-12T15:53:21","modified_gmt":"2025-02-12T06:53:21","slug":"graph-neural-networks-in-matlab-jp","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/japan-community\/2025\/02\/12\/graph-neural-networks-in-matlab-jp\/","title":{"rendered":"\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GNN)"},"content":{"rendered":"<div style=\"margin: 2px 10px 9px 4px; padding: 0px; line-height: 21px; min-height: 0px; white-space: pre-wrap; color: #212121; font-family: Helvetica, Arial, sans-serif; font-style: normal; font-size: 14px; font-weight: 400; text-align: left;\">\u203b\u3053\u306e\u6295\u7a3f\u306f 2025 \u5e74 2 \u6708 4 \u65e5\u306b<a href=\"https:\/\/blogs.mathworks.com\/deep-learning\/2025\/02\/04\/graph-neural-networks-in-matlab\/?from=jp\">Artificial Intelligence \u3078 \u6295\u7a3f<\/a>\u3055\u308c\u305f\u3082\u306e\u306e\u6284\u8a33\u3067\u3059\u3002<\/div>\n<hr \/>\n<h6><\/h6>\n<p>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09\u3084\u9577\u77ed\u671f\u8a18\u61b6\uff08LSTM\uff09\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u3088\u3046\u306a\u30c7\u30a3\u30fc\u30d7\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u753b\u50cf\u3084\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30bf\u30b9\u30af\u306b\u9069\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GNN) \u306f\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3 (\u30ce\u30fc\u30c9) \u3068\u305d\u306e\u95a2\u4fc2 (\u30a8\u30c3\u30b8) \u3092\u30a8\u30f3\u30b3\u30fc\u30c9\u3059\u308b\u69cb\u9020\u3067\u3042\u308b\u30b0\u30e9\u30d5\u306b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u62e1\u5f35\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>\u3053\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u306f\u3001GNN \u306e\u57fa\u672c\u7684\u306a\u7d39\u4ecb\u3068\u3001MATLAB \u3067 GNN \u3092\u59cb\u3081\u308b\u305f\u3081\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 20px; color: #c04c0b;\"><strong>\u30b0\u30e9\u30d5\u3063\u3066\u306a\u306b\uff1f<\/strong><\/p>\n<p>\u30b0\u30e9\u30d5\u306f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5185\u306e\u63a5\u7d9a\u3092\u30e2\u30c7\u30eb\u5316\u3057\u3001\u7269\u7406\u7684\u3001\u751f\u7269\u5b66\u7684\u3001\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u306e\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5e83\u304f\u9069\u7528\u3055\u308c\u307e\u3059\u3002\u30b0\u30e9\u30d5\u306e\u69cb\u9020\u306f\u300c\u30ce\u30fc\u30c9\u300d\u3068\u300c\u30a8\u30c3\u30b8\u300d\u3067\u69cb\u6210\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5404\u30ce\u30fc\u30c9\u306f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u8868\u3057\u3001\u5404\u30a8\u30c3\u30b8\u306f 2 \u3064\u306e\u30ce\u30fc\u30c9\u9593\u306e\u63a5\u7d9a\u3092\u8868\u3057\u307e\u3059\u3002\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"https:\/\/www.mathworks.com\/help\/matlab\/math\/directed-and-undirected-graphs.html\">\u6709\u5411\u30b0\u30e9\u30d5\u3068\u7121\u5411\u30b0\u30e9\u30d5<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h6><\/h6>\n<p><strong>\u30ce\u30fc\u30c9<\/strong>\uff08\u9802\u70b9\uff09\u306f\u30b0\u30e9\u30d5\u5185\u306e\u57fa\u672c\u7684\u306a\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u8868\u3057\u307e\u3059\u3002 \u5404\u30ce\u30fc\u30c9\u306f\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u5fdc\u3058\u3066\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3001\u307e\u305f\u306f\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u306b\u5bfe\u5fdc\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\u30bd\u30fc\u30b7\u30e3\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u306f\u30ce\u30fc\u30c9\u306f\u30e6\u30fc\u30b6\u30fc\u3092\u8868\u3057\u3001\u5206\u5b50\u69cb\u9020\u3067\u306f\u539f\u5b50\u3092\u8868\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p><strong>\u30a8\u30c3\u30b8<\/strong>\uff08\u63a5\u7d9a\uff09\u306f\u30ce\u30fc\u30c9\u306e\u30da\u30a2\u9593\u306e\u95a2\u4fc2\u307e\u305f\u306f\u63a5\u7d9a\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002 <strong>\u7121\u5411\u30b0\u30e9\u30d5<\/strong>\u3067\u306f\u3001\u30a8\u30c3\u30b8\u306b\u306f\u65b9\u5411\u304c\u3042\u308a\u307e\u305b\u3093\uff08\u4f8b\uff1a\u5316\u5b66\u7d50\u5408\uff09\u3002 <strong>\u6709\u5411\u30b0\u30e9\u30d5<\/strong>\u3067\u306f\u3001\u30a8\u30c3\u30b8\u306b\u306f\u7279\u5b9a\u306e\u65b9\u5411\u304c\u3042\u308a\u307e\u3059\uff08\u4f8b\uff1a\u4e00\u65b9\u901a\u884c\u306e\u9053\u8def\uff09\u3002 \u30a8\u30c3\u30b8\u306b\u306f\u3001\u63a5\u7d9a\u306e\u5f37\u3055\u3084\u30b3\u30b9\u30c8\u3092\u8868\u3059\u91cd\u307f\u306a\u3069\u306e\u5c5e\u6027\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p><strong>\u96a3\u63a5\u884c\u5217<\/strong>\u306f\u30b0\u30e9\u30d5\u306e\u6570\u5b66\u7684\u8868\u73fe\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u30ce\u30fc\u30c9 i \u304b\u3089\u30ce\u30fc\u30c9 j \u3078\u306e\u30a8\u30c3\u30b8\u306e\u5b58\u5728\uff08\u304a\u3088\u3073\u30aa\u30d7\u30b7\u30e7\u30f3\u3067\u91cd\u307f\uff09\u3092\u793a\u3059\u6b63\u65b9\u884c\u5217 A(i,j) \u3067\u3059\u3002<strong>\u7121\u5411\u30b0\u30e9\u30d5<\/strong>\u3067\u306f\u3001\u884c\u5217\u306f\u5bfe\u79f0\u3067\u3059\u3002<strong>\u6709\u5411\u30b0\u30e9\u30d5<\/strong>\u3067\u306f\u3001\u884c\u5217\u8981\u7d20\u306f\u975e\u5bfe\u79f0\u3067\u3001\u30a8\u30c3\u30b8\u306e\u65b9\u5411\u6027\u3092\u53cd\u6620\u3057\u3066\u3044\u307e\u3059\u3002\u96a3\u63a5\u884c\u5217\u306f\u3001<a href=\"https:\/\/www.mathworks.com\/discovery\/machine-learning.html\">\u6a5f\u68b0\u5b66\u7fd2<\/a>\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u305f\u3081\u306b\u30b0\u30e9\u30d5\u306e\u69cb\u9020\u3092\u30a8\u30f3\u30b3\u30fc\u30c9\u3059\u308b\u305f\u3081\u3001GNN \u3067\u5b9f\u884c\u3055\u308c\u308b\u8a08\u7b97\u3092\u542b\u3080\u30b0\u30e9\u30d5\u30d9\u30fc\u30b9\u306e\u8a08\u7b97\u306b\u304a\u3051\u308b\u91cd\u8981\u306a\u70b9\u3067\u3059\u3002<\/p>\n<h6><\/h6>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16775 size-full\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/graph_types.png\" alt=\"Types of graphs, including undirected, directed, and weighted graph\" width=\"1703\" height=\"1063\" \/><\/p>\n<h6><\/h6>\n<p><strong>\u56f3\uff1a<\/strong>\u30b0\u30e9\u30d5\u306e\u4e3b\u8981\u306a\u6982\u5ff5<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p>\u30b0\u30e9\u30d5\u7406\u8ad6\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u81ea\u7136\u306b\u30b0\u30e9\u30d5\u3068\u3057\u3066\u8868\u73fe\u3067\u304d\u308b\u591a\u304f\u306e\u73fe\u5b9f\u4e16\u754c\u306e\u30b7\u30b9\u30c6\u30e0\u3084\u95a2\u4fc2\u3092\u30e2\u30c7\u30eb\u5316\u3067\u304d\u307e\u3059\u3002\u4f8b\u3048\u3070\u30b0\u30e9\u30d5\u3092\u4f7f\u7528\u3057\u3066\u3001\u8133\u5185\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u3001\u5206\u5b50\u69cb\u9020\u3001\u822a\u7a7a\u4f1a\u793e\u306e\u98db\u884c\u30d1\u30bf\u30fc\u30f3\u3001\u9053\u8def\u304a\u3088\u3073\u30bd\u30fc\u30b7\u30e3\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306a\u3069\u3092\u30e2\u30c7\u30eb\u5316\u3067\u304d\u307e\u3059\u3002\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u30ce\u30fc\u30c9\u3001\u305d\u308c\u3089\u306e\u95a2\u4fc2\u3092\u30a8\u30c3\u30b8\u3068\u3057\u3066\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001\u76f8\u4e92\u4f5c\u7528\u3001\u304a\u3088\u3073\u4f9d\u5b58\u95a2\u4fc2\u3092\u5206\u6790\u304a\u3088\u3073\u6700\u9069\u5316\u3059\u308b\u305f\u3081\u306e\u69cb\u9020\u5316\u3055\u308c\u305f\u65b9\u6cd5\u3092\u63d0\u4f9b\u3059\u308b\u306e\u304c\u30b0\u30e9\u30d5\u7406\u8ad6\u3067\u3059\u3002 \u73fe\u5b9f\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30b0\u30e9\u30d5\u69cb\u9020\u306f\u304b\u306a\u308a\u8907\u96d1\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16778 \" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/complex_graph_exs.png\" alt=\"Examples of an undirected and a directed graph\" width=\"616\" height=\"289\" \/><\/p>\n<h6><\/h6>\n<p><strong>\u56f3\uff1a<\/strong>\u8907\u96d1\u306a\u7121\u5411\u30b0\u30e9\u30d5\u3068\u6709\u5411\u30b0\u30e9\u30d5\u306e\u4f8b<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p>\u30b0\u30e9\u30d5\u7406\u8ad6\u306f\u3001\u79c1\u81ea\u8eab\u306e\u904e\u53bb\u306e\u7814\u7a76\u3067\u3082\u5f79\u7acb\u3061\u307e\u3057\u305f\u3002\u88ab\u9a13\u8005\u304c\u8074\u899a\u523a\u6fc0\u306b\u53cd\u5fdc\u3057\u305f\u3068\u304d\u306e\u5927\u8133\u76ae\u8cea\u306b\u304a\u3051\u308b\u795e\u7d4c\u6d3b\u52d5\u306e\u4f1d\u64ad\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u305f\u3081\u306b\u30b0\u30e9\u30d5\u3092\u4f7f\u7528\u3057\u3001\u53cd\u5fdc\u6642\u9593\u306e\u5909\u52d5\u306e\u57fa\u790e\u3068\u306a\u308b\u751f\u7406\u5b66\u7684\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u4f53\u7cfb\u7684\u306b\u6e2c\u5b9a\u30fb\u89e3\u6790\u3057\u307e\u3057\u305f\u3002 \u3082\u3057\u6570\u5e74\u524d\u306b GNN \u304c\u767a\u898b\u3055\u308c\u3066\u3044\u305f\u3089\u3001\u76ae\u8cea\u6d3b\u52d5\u306e\u30e2\u30c7\u30eb\u5316\u3078\u306e\u5229\u7528\u3092\u691c\u8a0e\u3057\u3066\u3044\u305f\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16781 \" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/cortical_networks.jpg\" alt=\"Neuronal activity and reaction times, as a human subject reacts to auditory stimulus with pushing a button\" width=\"652\" height=\"249\" \/><\/p>\n<h6><\/h6>\n<p><strong>\u56f3\uff1a<\/strong>\u88ab\u9a13\u8005\u304c\u8074\u899a\u523a\u6fc0\u306b\u53cd\u5fdc\u3059\u308b\u969b\u306e\u76ae\u8cea\u6d3b\u52d5\u306e\u6709\u5411\u30b0\u30e9\u30d5\u30e2\u30c7\u30eb\uff08<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811921004043\" class=\"external\" rel=\"nofollow\" target=\"_blank\">Paraskevopoulou et al.<\/a>\uff09<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 20px; color: #c04c0b;\"><strong>\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3063\u3066\u306a\u306b\uff1f<\/strong><\/p>\n<p>\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GNN) \u306f\u3001\u30b0\u30e9\u30d5\u30d9\u30fc\u30b9\u306e\u8868\u73fe\u3092\u5165\u529b\u3068\u3057\u3066\u4f7f\u7528\u3059\u308b <a href=\"https:\/\/www.mathworks.com\/discovery\/deep-learning.html\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0<\/a> \u30e2\u30c7\u30eb\u3067\u3059\u3002 GNN \u306f\u30ce\u30fc\u30c9\u306e\u7279\u5fb4\u3068\u30b0\u30e9\u30d5\u81ea\u4f53\u306e\u69cb\u9020\u306e\u4e21\u65b9\u304b\u3089\u5b66\u7fd2\u3057\u3001\u95a2\u4fc2\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u5b66\u7fd2\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002 \u3053\u308c\u306b\u3088\u308a\u3001GNN \u306f\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u3001\u4e0d\u6b63\u691c\u51fa\u3001\u85ac\u7269\u767a\u898b\u306a\u3069\u3001\u4e0d\u898f\u5247\u3067\u975e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u30c7\u30fc\u30bf\u3092\u542b\u3080\u554f\u984c\u306b\u5bfe\u3059\u308b\u512a\u308c\u305f\u30aa\u30d7\u30b7\u30e7\u30f3\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>GNN \u306e\u6a5f\u5e8f<\/strong><\/p>\n<p>GNN \u306f\u3001\u5c64\u306e\u89b3\u70b9\u304b\u3089\u306f CNN \u3068\u540c\u69d8\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u306b\u5f93\u3044\u307e\u3059\u304c\u3001\u7a7a\u9593\u7573\u307f\u8fbc\u307f\u306e\u4ee3\u308f\u308a\u306b\u3001GNN \u306f\u30b0\u30e9\u30d5\u4e0a\u3067\u30e1\u30c3\u30bb\u30fc\u30b8\u30d1\u30c3\u30b7\u30f3\u30b0\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002GNN \u306f\u3001\u30b0\u30e9\u30d5\u306e\u69cb\u9020\u5168\u4f53\u306b\u60c5\u5831\u3092\u53cd\u5fa9\u7684\u306b\u4f1d\u64ad\u304a\u3088\u3073\u96c6\u7d04\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30ce\u30fc\u30c9\u304c\u96a3\u63a5\u30ce\u30fc\u30c9\u306b\u57fa\u3065\u3044\u3066\u6587\u8108\u5316\u3055\u308c\u305f\u7279\u5fb4\u8868\u73fe\u3092\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>\u3053\u3053\u3067\u306f\u3001GNN \u304c\u3069\u306e\u3088\u3046\u306b\u5b66\u7fd2\u3059\u308b\u304b\u306e\u91cd\u8981\u306a\u30b9\u30c6\u30c3\u30d7\u3092\u5206\u89e3\u3057\u3066\u8aac\u660e\u3057\u307e\u3059\uff1a<\/p>\n<h6><\/h6>\n<ol>\n<li><strong>\u30e1\u30c3\u30bb\u30fc\u30b8\u30d1\u30c3\u30b7\u30f3\u30b0<\/strong>: \u5404\u30ce\u30fc\u30c9\u306f\u30b0\u30e9\u30d5\u69cb\u9020\u306b\u57fa\u3065\u3044\u3066\u96a3\u63a5\u30ce\u30fc\u30c9\u304b\u3089\u7279\u5fb4\u60c5\u5831\u3092\u96c6\u7d04\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u96c6\u7d04<\/strong>: \u96c6\u7d04\u3055\u308c\u305f\u7279\u5fb4\u306f\u7d50\u5408\uff08\u4f8b\uff1a\u5408\u8a08\u307e\u305f\u306f\u5e73\u5747\uff09\u3055\u308c\u3001\u65b0\u3057\u3044\u8868\u73fe\u3092\u5f62\u6210\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u7279\u5fb4\u66f4\u65b0<\/strong>: \u30ce\u30fc\u30c9\u306e\u7279\u5fb4\u30d9\u30af\u30c8\u30eb\u306f\u5b66\u7fd2\u53ef\u80fd\u306a\u5909\u63db\u3092\u4f7f\u7528\u3057\u3066\u66f4\u65b0\u3055\u308c\u3001\u3057\u3070\u3057\u3070\u975e\u7dda\u5f62\u6d3b\u6027\u5316\u95a2\u6570\u304c\u7d9a\u304d\u307e\u3059\u3002<\/li>\n<li><strong>\u5c64\u306e\u7a4d\u307f\u91cd\u306d<\/strong>: \u8907\u6570\u306e GNN \u5c64\u3092\u7a4d\u307f\u91cd\u306d\u3066\u3001\u30b0\u30e9\u30d5\u306e\u9060\u304f\u306e\u90e8\u5206\u304b\u3089\u60c5\u5831\u3092\u4f1d\u64ad\u3055\u305b\u307e\u3059\u3002<\/li>\n<li><strong>\u51fa\u529b\u5c64<\/strong>: GNN \u306e\u6700\u7d42\u5c64\u306f\u901a\u5e38\u3001\u5404\u30ce\u30fc\u30c9\u307e\u305f\u306f\u5168\u4f53\u306e\u30b0\u30e9\u30d5\u306e\u4e88\u6e2c\u3092\u751f\u6210\u3057\u3001\u5206\u985e\u3068\u56de\u5e30\u306e\u4e21\u65b9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3001\u4e0b\u6d41\u306e\u30bf\u30b9\u30af\u306e\u305f\u3081\u306e\u6f5c\u5728\u57cb\u3081\u8fbc\u307f\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30b0\u30e9\u30d5\u30d7\u30fc\u30ea\u30f3\u30b0<\/strong>: \u4e00\u90e8\u306e GNN \u306f\u3001\u30b0\u30e9\u30d5\u3092\u30c0\u30a6\u30f3\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3057\u3066\u8a08\u7b97\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u3001CNN \u306e\u30b9\u30c8\u30e9\u30a4\u30c9\u7573\u307f\u8fbc\u307f\u3084\u30d7\u30fc\u30ea\u30f3\u30b0\u5c64\u3068\u540c\u69d8\u306b\u3001\u30b0\u30e9\u30d5\u69cb\u9020\u3092\u5c64\u3054\u3068\u306b\u52d5\u7684\u306b\u5909\u66f4\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>GNN \u69cb\u9020\u306e\u4ee3\u8868\u4f8b\u00a0<\/strong><\/p>\n<p><strong>\u30b0\u30e9\u30d5\u7573\u307f\u8fbc\u307f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GCN)<\/strong> &#8211; GCN \u306f\u3001\u96a3\u63a5\u30ce\u30fc\u30c9\u306e\u7279\u5fb4\u306e\u91cd\u307f\u4ed8\u304d\u96c6\u7d04\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30b0\u30e9\u30d5\u3078\u306e\u7573\u307f\u8fbc\u307f\u306e\u6982\u5ff5\u3092\u4e00\u822c\u5316\u3057\u307e\u3059\u3002GCN \u306f\u30ce\u30fc\u30c9\u5206\u985e\u3084\u30b0\u30e9\u30d5\u30ec\u30d9\u30eb\u306e\u30bf\u30b9\u30af\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u5927\u898f\u6a21\u306a\u30b0\u30e9\u30d5\u306b\u30b9\u30b1\u30fc\u30eb\u3059\u308b\u969b\u306b\u306f\u3001\u30e1\u30e2\u30ea\u8981\u4ef6\u3068\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9\u306e\u5897\u52a0\u304c\u5fc5\u8981\u3067\u3042\u308b\u3053\u3068\u3092\u8003\u616e\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/p>\n<h6><\/h6>\n<p><strong>\u30b0\u30e9\u30d5\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GAT)<\/strong> &#8211; GAT \u306f\u6ce8\u610f\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u5c0e\u5165\u3057\u3001\u5404\u63a5\u7d9a\u306b\u5b66\u7fd2\u53ef\u80fd\u306a\u6ce8\u610f\u91cd\u307f\u3092\u5272\u308a\u5f53\u3066\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u3069\u306e\u96a3\u63a5\u30ce\u30fc\u30c9\u304c\u3088\u308a\u91cd\u8981\u3067\u3042\u308b\u304b\u3092\u30e2\u30c7\u30eb\u304c\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u8868\u73fe\u529b\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u304c\u3001\u8a08\u7b97\u6642\u9593\u3082\u5897\u52a0\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p><strong>GraphSAGE &#8211; <\/strong>GraphSAGE \u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u306b\u5404\u30ce\u30fc\u30c9\u306e\u56fa\u5b9a\u6570\u306e\u96a3\u63a5\u30ce\u30fc\u30c9\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3092\u5411\u4e0a\u3055\u305b\u3001\u30b0\u30e9\u30d5\u5168\u4f53\u3092\u8003\u616e\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>GNN \u306e MATLAB \u30b5\u30f3\u30d7\u30eb<\/strong><\/p>\n<p>MATLAB \u3067 GCN \u304a\u3088\u3073 GAT \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5b9f\u88c5\u3059\u308b\u5177\u4f53\u7684\u306a\u65b9\u6cd5\u306f\u3053\u308c\u3089\u306e\u4f8b\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h6><\/h6>\n<table width=\"90%;\">\n<tbody>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 20px; text-align: center;\" width=\"70%\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16796 size-full\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/convolutionalGGN.png\" alt=\"Architecture of a Graph Convolutional Network (GCN)\" width=\"914\" height=\"186\" \/><\/td>\n<td style=\"padding: 20px; text-align: left;\" width=\"20%\"><a href=\"https:\/\/www.mathworks.com\/help\/deeplearning\/ug\/node-classification-using-graph-convolutional-network.html\">GCN \u3092\u4f7f\u7528\u3057\u305f\u30ce\u30fc\u30c9\u5206\u985e<\/a><\/td>\n<\/tr>\n<tr style=\"border-bottom: solid 1px #bfbfbf; border-left: solid 1px #bfbfbf; border-right: solid 1px #bfbfbf;\">\n<td style=\"padding: 20px; text-align: center;\" width=\"70%\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16799 size-full\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/attentionGGN.png\" alt=\"Architecture of a Graph Attention Network (GAT)\" width=\"1200\" height=\"239\" \/><\/td>\n<td style=\"padding: 20px; text-align: left;\" width=\"20%\"><a href=\"https:\/\/www.mathworks.com\/help\/deeplearning\/ug\/multilabel-graph-classification-using-graph-attention-networks.html\">GAT\u3092\u4f7f\u7528\u3057\u305f\u30de\u30eb\u30c1\u30e9\u30d9\u30eb\u30b0\u30e9\u30d5\u5206\u985e<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 20px; color: #c04c0b;\"><strong>\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u4f7f\u3044\u3069\u3053\u308d<\/strong><\/p>\n<p>\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GNN) \u306f\u3001\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u9593\u306e\u95a2\u4fc2\u3084\u76f8\u4e92\u4f5c\u7528\u304c\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u81ea\u4f53\u3068\u540c\u69d8\u306b\u91cd\u8981\u306a\u9818\u57df\u3067\u3001\u30b0\u30e9\u30d5\u3068\u3057\u3066\u81ea\u7136\u306b\u8868\u73fe\u3055\u308c\u308b\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u7279\u5225\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002GNN \u3067\u306f\u3001\u3053\u308c\u3089\u306e\u95a2\u4fc2\u306f\u5b66\u7fd2\u30d7\u30ed\u30bb\u30b9\u306e\u4e00\u90e8\u3068\u3057\u3066\u660e\u793a\u7684\u306b\u30e2\u30c7\u30eb\u5316\u3055\u308c\u307e\u3059\u3002 \u4f8b\u3048\u3070\u3001\u4ee5\u4e0b\u306e\u3053\u3068\u304c\u3067\u304d\u307e\u3059\uff1a<\/p>\n<h6><\/h6>\n<ul>\n<li><strong>\u5206\u5b50\u30b0\u30e9\u30d5<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001\u85ac\u7269\u767a\u898b\u3084\u6750\u6599\u8a2d\u8a08\u306e\u305f\u3081\u306b\u5206\u5b50\u306e\u7279\u6027\u3092\u4e88\u6e2c\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30ca\u30ec\u30c3\u30b8\u30b0\u30e9\u30d5<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001\u76f8\u4e92\u306b\u63a5\u7d9a\u3055\u308c\u305f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u304b\u3089\u5b66\u7fd2\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30a8\u30f3\u30b8\u30f3\u3092\u6539\u5584\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u4ea4\u901a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001\u9053\u8def\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b0\u30e9\u30d5\u306b\u57fa\u3065\u3044\u3066\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u6700\u9069\u5316\u3057\u3001\u6e0b\u6ede\u3092\u4e88\u6e2c\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<p>GNN \u306e\u5229\u70b9\u3068\u9650\u754c\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u3067\u3001\u3044\u3064\u3069\u306e\u3088\u3046\u306b\u305d\u308c\u3089\u3092\u52b9\u679c\u7684\u306b\u9069\u7528\u3059\u308b\u304b\u306b\u3064\u3044\u3066\u3001\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u610f\u601d\u6c7a\u5b9a\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>GNN \u306e\u5229\u70b9<\/strong><\/p>\n<ul>\n<li><strong>\u67d4\u8edf\u306a\u5165\u529b\u69cb\u9020<\/strong> &#8211; CNN \u3084 LSTM \u3068\u306f\u7570\u306a\u308a\u3001GNN \u306f\u30b0\u30e9\u30d5\u3092\u30cd\u30a4\u30c6\u30a3\u30d6\u306b\u51e6\u7406\u3067\u304d\u307e\u3059\u3002\u30b0\u30e9\u30d5\u30c7\u30fc\u30bf\u3092 CNN \u3084 LSTM \u306b\u6e21\u3059\u306b\u306f\u3001\u30b0\u30e9\u30d5\u3092\u56fa\u5b9a\u30b0\u30ea\u30c3\u30c9\u306b\u88dc\u9593\u3059\u308b\u306a\u3069\u306e\u30c7\u30fc\u30bf\u64cd\u4f5c\u304c\u5fc5\u8981\u3067\u3059\u304c\u3001\u3053\u308c\u306b\u3088\u308a\u88dc\u9593\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li><strong>\u95a2\u4fc2\u63a8\u8ad6<\/strong> &#8211; GNN \u306f\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u4f9d\u5b58\u95a2\u4fc2\u3068\u76f8\u4e92\u4f5c\u7528\u3092\u30cd\u30a4\u30c6\u30a3\u30d6\u306b\u30ad\u30e3\u30d7\u30c1\u30e3\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30ce\u30fc\u30c9\u304a\u3088\u3073\u30b0\u30e9\u30d5\u30ec\u30d9\u30eb\u306e\u5b66\u7fd2<\/strong> &#8211; GNN \u306f\u3001\u500b\u3005\u306e\u30ce\u30fc\u30c9\u306e\u5c5e\u6027\u306e\u4e88\u6e2c\uff08\u30ce\u30fc\u30c9\u5206\u985e\uff09\u3001\u95a2\u4fc2\uff08\u30ea\u30f3\u30af\u4e88\u6e2c\uff09\u3001\u307e\u305f\u306f\u30b0\u30e9\u30d5\u5168\u4f53\uff08\u30b0\u30e9\u30d5\u5206\u985e\uff09\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u30ec\u30d9\u30eb\u306e\u30bf\u30b9\u30af\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>GNNs \u306e\u6b20\u70b9<\/strong><\/p>\n<ul>\n<li><strong>\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3<\/strong> &#8211; GNN \u306f\u30ce\u30fc\u30c9\u9593\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u30d1\u30c3\u30b7\u30f3\u30b0\u3092\u5fc5\u8981\u3068\u3057\u3001\u5927\u898f\u6a21\u306a\u30b0\u30e9\u30d5\u3067\u306f\u8a08\u7b97\u30b3\u30b9\u30c8\u304c\u9ad8\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li><strong>\u904e\u5ea6\u306a\u30b9\u30e0\u30fc\u30b8\u30f3\u30b0<\/strong> &#8211; \u5c64\u306e\u6570\u304c\u5897\u3048\u308b\u3068\u3001\u30ce\u30fc\u30c9\u306e\u8868\u73fe\u304c\u4e92\u3044\u306b\u533a\u5225\u3067\u304d\u306a\u304f\u306a\u308a\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u4f4e\u4e0b\u306b\u3064\u306a\u304c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li><strong>\u30c7\u30fc\u30bf\u6e96\u5099<\/strong> &#8211; \u30b0\u30e9\u30d5\u30c7\u30fc\u30bf\u306f\u3001\u30ce\u30fc\u30c9\u9593\u306e\u95a2\u4fc2\u304c\u5e38\u306b\u660e\u78ba\u306b\u5b9a\u7fa9\u3067\u304d\u308b\u3068\u306f\u9650\u3089\u306a\u3044\u305f\u3081\u3001\u8907\u96d1\u306a\u524d\u51e6\u7406\u3068\u7279\u5fb4\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u3092\u5fc5\u8981\u3068\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ul>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>GNN \u306e\u4f7f\u3044\u3069\u3053\u308d<\/strong><\/p>\n<p>\u660e\u3089\u304b\u306b\u3001GNN \u306f\u3059\u3079\u3066\u306e\u6a5f\u68b0\u5b66\u7fd2\u30bf\u30b9\u30af\u306b\u5bfe\u3059\u308b\u7b54\u3048\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u4ee5\u4e0b\u306e\u8868\u306f\u3001GNN \u307e\u305f\u306f\u4ed6\u306e\u30bf\u30a4\u30d7\u306e AI \u30e2\u30c7\u30eb\u3092\u9078\u629e\u3059\u308b\u30bf\u30a4\u30df\u30f3\u30b0\u306b\u95a2\u3059\u308b\u30ac\u30a4\u30c0\u30f3\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<table width=\"90%;\">\n<tbody>\n<tr style=\"border: solid 1px #bfbfbf; border-bottom: solid 3px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\"><strong> \u30bf\u30b9\u30af<\/strong><\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\"><strong>\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/strong><\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\"><strong>\u4ed6\u306eAI\u30e2\u30c7\u30eb<\/strong><\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u753b\u50cf\u5206\u985e<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u901a\u5e38\u306f\u4f7f\u7528\u3055\u308c\u307e\u305b\u3093<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\"><a href=\"https:\/\/www.mathworks.com\/discovery\/convolutional-neural-network.html\">CNN<\/a><\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u6642\u7cfb\u5217\u4e88\u6e2c<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u6642\u7cfb\u5217\u306e\u30ce\u30fc\u30c9\u304c\u95a2\u9023\u3057\u3066\u3044\u308b\u5834\u5408\u306e\u307f<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\"><a href=\"https:\/\/www.mathworks.com\/discovery\/lstm.html\">LSTM<\/a> or <a href=\"https:\/\/blogs.mathworks.com\/deep-learning\/2024\/10\/31\/transformer-models-from-hype-to-implementation\/\">\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u30e2\u30c7\u30eb<\/a><\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u30bd\u30fc\u30b7\u30e3\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5206\u6790<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">GNN\uff08\u30e6\u30fc\u30b6\u30fc\u95a2\u4fc2\u3092\u30ad\u30e3\u30d7\u30c1\u30e3\u3059\u308b\u305f\u3081\uff09<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u8a72\u5f53\u306a\u3057<\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u85ac\u7269\u767a\u898b<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">GNN\uff08\u5206\u5b50\u69cb\u9020\u3092\u6d3b\u7528\u3059\u308b\u305f\u3081\uff09<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"30%\">\u4f1d\u7d71\u7684\u306a<a href=\"https:\/\/www.mathworks.com\/discovery\/machine-learning-models.html\">\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 20px; color: #c04c0b;\"><strong>\u30a8\u30f3\u30b8\u30cb\u30a2\u5411\u3051 GNN<\/strong><\/p>\n<p>\u30a8\u30f3\u30b8\u30cb\u30a2\u306f\u7269\u7406\u4e16\u754c\u306e\u30e2\u30c7\u30eb\u3092\u6271\u3046\u305f\u3081\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306e\u554f\u984c\u306f\u30b0\u30e9\u30d5\u3068\u3057\u3066\u8868\u73fe\u3067\u304d\u308b\u8907\u96d1\u306a\u76f8\u4e92\u63a5\u7d9a\u30b7\u30b9\u30c6\u30e0\u3092\u542b\u3080\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002GNN \u306f\u3001\u7a7a\u9593\u3001\u6642\u9593\u3001\u304a\u3088\u3073\u95a2\u4fc2\u60c5\u5831\u3092\u660e\u793a\u7684\u306b\u30a8\u30f3\u30b3\u30fc\u30c9\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u5f93\u6765\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u306f\u6349\u3048\u306b\u304f\u3044\u95a2\u4fc2\u4f9d\u5b58\u6027\u3092\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p>\u4ee5\u4e0b\u306b\u3001GNN \u306e\u3044\u304f\u3064\u304b\u306e\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<table width=\"90%;\">\n<tbody>\n<tr style=\"border: solid 1px #bfbfbf; border-bottom: solid 3px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\"><strong>\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3<\/strong><\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\"><strong>\u7279\u5b9a\u306e\u4f8b<\/strong><\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"50%\"><strong>\u306a\u305c GNN \u3092\u4f7f\u7528\u3059\u308b\u306e\u304b\uff1f<\/strong><\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">\u96fb\u529b\u7db2\u3068\u96fb\u6c17\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">\u30b7\u30b9\u30c6\u30e0\u969c\u5bb3\u3092\u4e88\u6e2c\u3057\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u3092\u6700\u9069\u5316\u3057\u307e\u3059\u3002<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"50%\">\u96fb\u529b\u7db2\u306f\u672c\u8cea\u7684\u306b\u30b0\u30e9\u30d5\u3067\u3042\u308a\u3001\u30ce\u30fc\u30c9\u306f\u5909\u96fb\u6240\u3001\u5909\u5727\u5668\u3001\u307e\u305f\u306f\u767a\u96fb\u6a5f\u3092\u8868\u3057\u3001\u30a8\u30c3\u30b8\u306f\u96fb\u529b\u7dda\u3092\u8868\u3057\u307e\u3059\u3002GNN \u306f\u52d5\u7684\u4f9d\u5b58\u6027\u3092\u30e2\u30c7\u30eb\u5316\u3057\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5f31\u70b9\u3092\u691c\u51fa\u3067\u304d\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">\u6d41\u4f53\u529b\u5b66\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">\u30d1\u30a4\u30d7\u3084\u8868\u9762\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306e\u6d41\u4f53\u306e\u6d41\u308c\u3092\u30e2\u30c7\u30eb\u5316\u3057\u307e\u3059\u3002<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"50%\">GNN \u306f\u3001\u63a5\u7d9a\u3055\u308c\u305f\u6d41\u4f53\u9818\u57df\u9593\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u30e2\u30c7\u30eb\u5316\u3057\u3066\u3001\u6d41\u91cf\u3001\u6e29\u5ea6\u5909\u5316\u3001\u5727\u529b\u5909\u52d5\u3092\u4e88\u6e2c\u3067\u304d\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">Robotics and Control System \u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u3068\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">Learn interactions between different subsystems in a robotic assembly or a control network. \u30ed\u30dc\u30c3\u30c8\u30a2\u30bb\u30f3\u30d6\u30ea\u307e\u305f\u306f\u5236\u5fa1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5185\u306e\u7570\u306a\u308b\u30b5\u30d6\u30b7\u30b9\u30c6\u30e0\u9593\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u5b66\u7fd2\u3057\u307e\u3059\u3002<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"50%\">In multi-robot coordination, GNNs can model dynamic relationships between robots to optimize collaboration and path planning. \u30de\u30eb\u30c1\u30ed\u30dc\u30c3\u30c8\u5354\u8abf\u306b\u304a\u3044\u3066\u3001GNN\u306f\u30ed\u30dc\u30c3\u30c8\u9593\u306e\u52d5\u7684\u95a2\u4fc2\u3092\u30e2\u30c7\u30eb\u5316\u3057\u3066\u3001\u5354\u529b\u3068\u7d4c\u8def\u8a08\u753b\u3092\u6700\u9069\u5316\u3067\u304d\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr style=\"border: solid 1px #bfbfbf;\">\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">\u6750\u6599\u79d1\u5b66<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"20%\">\u539f\u5b50\u69cb\u9020\u304b\u3089\u6750\u6599\u306e\u7279\u6027\uff08\u4f8b\uff1a\u5c0e\u96fb\u7387\u3001\u5f3e\u6027\uff09\u3092\u4e88\u6e2c\u3057\u307e\u3059\u3002<\/td>\n<td style=\"padding: 10px; text-align: center; border-right: solid 1px #bfbfbf;\" width=\"50%\">\u539f\u5b50\u3068\u7d50\u5408\u306f\u5206\u5b50\u30b0\u30e9\u30d5\u3092\u5f62\u6210\u3057\u307e\u3059\u3002GNN \u306f\u3001\u30b0\u30e9\u30d5\u30d9\u30fc\u30b9\u306e\u5206\u5b50\u8868\u73fe\u304b\u3089\u5316\u5b66\u7684\u304a\u3088\u3073\u7269\u7406\u7684\u95a2\u4fc2\u3092\u5b66\u7fd2\u3059\u308b\u306e\u306b\u512a\u308c\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>\u71b1\u4f1d\u5c0e x GNN<\/strong><\/p>\n<table width=\"100%;\">\n<tbody>\n<tr>\n<td style=\"padding: 10px; padding-left: 0px; text-align: center;\" width=\"60%\">\n<p style=\"text-align: left;\">MATLAB\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f\uff08PDE\uff09\u3067\u8a18\u8ff0\u3055\u308c\u305f\u7269\u7406\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b GNN \u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002 PDE \u306f\u901a\u5e38\u3001<a href=\"https:\/\/www.mathworks.com\/videos\/series\/finite-element-analysis-in-matlab.html\">\u6709\u9650\u8981\u7d20\u89e3\u6790<\/a>\uff08FEA\uff09\u306e\u3088\u3046\u306a\u6570\u5024\u65b9\u6cd5\u3067\u89e3\u304b\u308c\u3001\u96e2\u6563\u30e1\u30c3\u30b7\u30e5\u4e0a\u306e\u89e3\u3092\u8fd1\u4f3c\u3057\u307e\u3059\u3002\u3053\u306e\u30e1\u30c3\u30b7\u30e5\u306f\u81ea\u7136\u306b\u30b0\u30e9\u30d5\u306e\u3088\u3046\u306a\u69cb\u9020\u3092\u5f62\u6210\u3057\u3001GNN \u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002GNN \u306f\u3001FEA \u3084\u4ed6\u306e\u6570\u5024\u65b9\u6cd5\u3068\u6bd4\u8f03\u3057\u3066\u3001\u4e00\u5ea6\u5b66\u7fd2\u3055\u305b\u308b\u3068\u9ad8\u901f\u306a\u63a8\u8ad6\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: left;\">GNN \u3092\u4f7f\u7528\u3057\u3066\u71b1\u4f1d\u9054\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u306f\u3001<a href=\"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/172805-graph-neural-network-for-heat-transfer-problem\">\u3053\u306e\u30ea\u30dd\u30b8\u30c8\u30ea<\/a>\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/td>\n<td style=\"padding: 10px; text-align: center;\" width=\"40%\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16892 size-full\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/heat_transfer_gnn.png\" alt=\"Heat transfer maps\" width=\"915\" height=\"740\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h6><\/h6>\n<p style=\"font-size: 20px; color: #c04c0b;\"><strong>\u307e\u3068\u3081<\/strong><\/p>\n<p>GNN \u306f\u3001\u30c7\u30fc\u30bf\u304c\u81ea\u7136\u306b\u30b0\u30e9\u30d5\u3068\u3057\u3066\u8868\u73fe\u3055\u308c\u308b\u9818\u57df\u3067\u95a2\u4fc2\u63a8\u8ad6\u3092\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u80fd\u529b\u3092\u62e1\u5f35\u3057\u307e\u3059\u3002MATLAB \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30b0\u30e9\u30d5\u7406\u8ad6\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3001\u304a\u3088\u3073\u9ad8\u5fe0\u5b9f\u5ea6\u30e2\u30c7\u30ea\u30f3\u30b0\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u73fe\u5b9f\u306e\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u6210\u3057\u3001\u7269\u7406\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img decoding=\"async\"  class=\"img-responsive\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2025\/02\/graph_types.png\" onError=\"this.style.display ='none';\" \/><\/div>\n<p>\u203b\u3053\u306e\u6295\u7a3f\u306f 2025 \u5e74 2 \u6708 4 \u65e5\u306bArtificial Intelligence \u3078 \u6295\u7a3f\u3055\u308c\u305f\u3082\u306e\u306e\u6284\u8a33\u3067\u3059\u3002<\/p>\n<p>\u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08CNN\uff09\u3084\u9577\u77ed\u671f\u8a18\u61b6\uff08LSTM\uff09\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u3088\u3046\u306a\u30c7\u30a3\u30fc\u30d7\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u753b\u50cf\u3084\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30bf\u30b9\u30af\u306b\u9069\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (GNN) \u306f\u3001\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3 (\u30ce\u30fc\u30c9)&#8230; <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/japan-community\/2025\/02\/12\/graph-neural-networks-in-matlab-jp\/\">read more >><\/a><\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[182,61],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/12845"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/comments?post=12845"}],"version-history":[{"count":7,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/12845\/revisions"}],"predecessor-version":[{"id":12866,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/12845\/revisions\/12866"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/media?parent=12845"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/categories?post=12845"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/tags?post=12845"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}