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\u5b9e\u9a8c\u8986\u76d6 19 \u4e2a\u8282\u70b9\u5206\u7c7b\u57fa\u51c6\uff0c\u6784\u6210\u4e3a 6 \u4e2a\u5f02\u8d28\u56fe\u30018 \u4e2a\u540c\u8d28\u56fe\u4e0e 5 \u4e2a\u5927\u89c4\u6a21\u56fe\uff0c\u5bf9\u6bd4 17 \u4e2a\u57fa\u7ebf\uff0c\u5176\u4e2d\u5305\u62ec 3 \u4e2a\u53c2\u8003\u951a\u70b9\uff08\u65e0\u56fe MLP\u3001\u751f\u6210\u6811\u3001\u72ec\u7acb\u8c03\u53c2\u7684\u5168\u56fe GCN\uff09\u300111 \u4e2a\u62d3\u6251\u5f15\u5bfc\u7a00\u758f\u5668\u4e0e 3 \u4e2a\u8bed\u4e49\u5f15\u5bfc\u7a00\u758f\u5668\uff1b\u9664 Minesweeper\u3001Questions\u3001ogbn-proteins \u91c7\u7528 ROC-AUC \u5916\uff0c\u5176\u4f59\u4ee5\u51c6\u786e\u7387\u8ba1\u3002\u5728\u4fdd\u7559 30% \u8fb9\uff08\u03c1=0.3\uff09\u7684\u8bbe\u5b9a\u4e0b\uff0cEDiS \u7684\u8f7b\u91cf\u7248\u672c EDiS-Lite \u53d6\u5f97 75.95 \u7684\u5e73\u5747\u5206\u30012.53 \u7684\u5e73\u5747\u6392\u540d\u548c 1.25 \u5206\u7684\u4e0e\u6700\u4f18\u5dee\u8ddd\uff0c\u5728\u88ab\u6392\u540d\u7684\u65b9\u6cd5\u4e2d\u5e73\u5747\u5206\u6700\u9ad8\u3001\u5e73\u5747\u6392\u540d\u4e0e\u5dee\u8ddd\u6700\u4f4e\uff1b\u03c1=0.5 \u65f6\u76f8\u5e94\u4e3a 77.76\u30013.32 \u4e0e 1.23\u3002\u8f7b\u91cf\u7248\u4e0e\u5b8c\u6574\u7248\u7684\u533a\u522b\u53ea\u5728\u63a8\u7406\u9636\u6bb5\uff1aEDiS-Lite \u7528\u7a00\u758f\u7ec4\u5408\u56fe\u63a8\u7406\uff0cEDiS-Full \u6362\u7528\u5b8c\u6574\u539f\u56fe\u3002Cora \u4e0a\u524d\u8005 77.16\u3001\u540e\u8005 84.08\uff0c\u5df2\u63a5\u8fd1\u72ec\u7acb\u8c03\u53c2\u7684\u5168\u56fe GCN \u53c2\u8003\u503c 84.26\uff1b\u4f46 Chameleon \u4e0a\u5b8c\u6574\u7248 43.13 \u53cd\u800c\u7565\u4f4e\u4e8e\u8f7b\u91cf\u7248 43.75\uff0c\u8bf4\u660e\u5207\u6362\u63a8\u7406\u56fe\u4e0d\u662f\u666e\u904d\u6709\u6548\u7684\u8865\u507f\u624b\u6bb5\uff0c\u6548\u679c\u53d6\u51b3\u4e8e\u56fe\u672c\u8eab\u7684\u7ed3\u6784\u3002<\/p>\n \u6d88\u878d\u5b9e\u9a8c\u8fdb\u4e00\u6b65\u62c6\u5f00\u4e86\u7ed3\u6784\u5316\u5206\u89e3\u4e0e\u8f6e\u6b21\u95f4\u91cd\u91c7\u6837\u5404\u81ea\u7684\u8d21\u732e\u3002\u4e09\u4e2a\u5bf9\u7167\u7ec4\u5206\u522b\u662f Frozen\uff08\u5168\u7a0b\u53ea\u7528\u4e00\u5f20\u56fa\u5b9a\u91c7\u6837\u56fe\uff09\u3001Direct\uff08\u6309\u5206\u6570\u76f4\u63a5\u91c7\u8fb9\u3001\u4e0d\u5f62\u6210\u5b50\u56fe\uff09\u4e0e Shuffled groups\uff08\u4fdd\u6301\u4e0e EDiS \u76f8\u540c\u7684\u5b50\u56fe\u5927\u5c0f\uff0c\u4f46\u628a\u8fb9\u968f\u673a\u6253\u4e71\u91cd\u65b0\u5206\u914d\uff09\u3002\u7ed3\u679c\u662f\u5728\u7d27\u8fb9\u9884\u7b97\u4e0b EDiS-Lite \u5339\u914d\u6216\u9886\u5148\u5168\u90e8\u4e09\u4e2a\u5bf9\u7167\uff0c\u5176\u4e2d Shuffled groups \u5c3d\u7ba1\u5b50\u56fe\u5c3a\u5bf8\u5b8c\u5168\u4e00\u81f4\u5374\u59cb\u7ec8\u6700\u5f31\uff0cFrozen \u5728\u5c0f\u9884\u7b97\u4e0b\u635f\u5931\u6700\u5927\u3002\u8fd9\u6307\u5411\u4e00\u4e2a\u5224\u65ad\uff1a\u6536\u76ca\u65e2\u4e0d\u5355\u6765\u81ea\u591a\u770b\u4e00\u4e9b\u4e0d\u540c\u7684\u8fb9\uff0c\u4e5f\u4e0d\u5355\u6765\u81ea\u4fdd\u6301\u5b50\u56fe\u89c4\u6a21\uff0c\u800c\u6765\u81ea\u6309\u7ed3\u6784\u6027\u539f\u5219\uff08\u8986\u76d6\u68ee\u6797\uff09\u628a\u8fb9\u7ec4\u7ec7\u6210\u5b50\u56fe\u3001\u518d\u914d\u5408\u8f6e\u6b21\u95f4\u91cd\u91c7\u6837\uff0c\u4e24\u8005\u7f3a\u4e00\u4e0d\u53ef\u3002\u6846\u67b6\u8fd8\u628a\u9009\u62e9\u5668\u4e0e\u6253\u5206\u51fd\u6570\u505a\u6210\u53ef\u81ea\u7531\u7ec4\u5408\u7684\u72ec\u7acb\u6a21\u5757\uff1a7 \u79cd\u9009\u62e9\u5668\u4e0e 5 \u79cd\u6253\u5206\u65b9\u5f0f\u7684\u7ec4\u5408\u91cc\u6ca1\u6709\u54ea\u4e00\u7ec4\u5728\u6240\u6709\u6570\u636e\u96c6\u4e0a\u901a\u5403\uff0c\u9ed8\u8ba4\u7684\u300c\u6700\u5927\u68ee\u6797\u52a0\u4f59\u5f26\u76f8\u4f3c\u5ea6\u300d\u6574\u4f53\u7a33\u5065\u4f46\u4e0d\u662f\u7edd\u5bf9\u51a0\u519b\uff1bMinesweeper \u4e0a\u7528\u5c0f\u578b\u795e\u7ecf\u7f51\u7edc\u6253\u5206\u5668\u5f97\u5230 83.70 \u7684 ROC-AUC\uff0c\u660e\u663e\u9ad8\u4e8e\u4f59\u5f26\u6253\u5206\u7684 73.82\uff0c\u63a5\u8fd1 10 \u5206\u7684\u843d\u5dee\u6bd4\u5176\u4ed6\u6570\u636e\u96c6\u4e0a\u4e24\u7c7b\u6253\u5206\u65b9\u5f0f\u7684\u5dee\u8ddd\u5927\u51fa\u81f3\u5c11\u516d\u500d\uff0c\u63d0\u793a\u5bf9\u67d0\u4e9b\u56fe\u800c\u8a00\u6253\u5206\u65b9\u5f0f\u53ef\u80fd\u6bd4\u9009\u62e9\u5668\u66f4\u5173\u952e\u3002<\/p>\n \u628a\u300c\u8bad\u7ec3\u63d0\u901f\u300d\u8fd9\u4e00\u6982\u62ec\u4e0e\u89e3\u8bfb\u7a3f\u7ed9\u51fa\u7684\u8fd0\u884c\u65f6\u95f4\u5e76\u7f6e\uff0c\u4f1a\u770b\u5230\u5b83\u9700\u8981\u9644\u52a0\u6761\u4ef6\u624d\u6210\u7acb\u3002\u5728 Reddit\u300130% \u8fb9\u9884\u7b97\u4e0b\uff0cEDiS \u4e00\u6b21\u6027\u5206\u89e3\u6784\u5efa\u7ea6 313.7 \u79d2\uff0c300 \u4e2a\u8bad\u7ec3\u5468\u671f\u5408\u8ba1 518.7 \u79d2\uff0c\u603b\u8ba1 832.4 \u79d2\uff0c\u800c\u5168\u56fe\u57fa\u51c6 Full-GCN \u4e3a 713.4 \u79d2\u2014\u2014\u5355\u770b\u8fd9\u4e00\u7ec4\u6570\u5b57\uff0cEDiS \u53cd\u800c\u66f4\u6162\uff0c\u539f\u56e0\u662f\u5206\u89e3\u662f\u4e00\u6b21\u6027\u56fa\u5b9a\u6210\u672c\uff0c300 \u4e2a\u5468\u671f\u8fd8\u6ca1\u628a\u5b83\u644a\u5e73\u3002\u89e3\u8bfb\u7a3f\u7ed9\u51fa\u7684\u4f30\u7b97\u662f\u7ea6 480 \u4e2a\u5468\u671f\u4e4b\u540e\u603b\u8017\u65f6\u624d\u4f1a\u53cd\u8d85\uff1b\u800c\u82e5\u540c\u4e00\u4efd\u5206\u89e3\u88ab\u590d\u7528\u4e8e\u591a\u4e2a\u8fb9\u9884\u7b97\u8bbe\u5b9a\uff0c\u56fa\u5b9a\u6210\u672c\u53ea\u9700\u4ed8\u4e00\u6b21\uff0c\u644a\u5f97\u66f4\u5feb\uff0c\u67e5\u8be2 5 \u4e2a\u4e0d\u540c\u9884\u7b97\u65f6\u7d2f\u8ba1\u6784\u5efa\u65f6\u95f4\u53ef\u538b\u7f29\u5230\u6bcf\u6b21\u91cd\u65b0\u5206\u89e3\u7684\u4e94\u5206\u4e4b\u4e00\u3002\u6362\u8a00\u4e4b\uff0c\u6846\u67b6\u7684\u6536\u76ca\u96c6\u4e2d\u5728\u8bad\u7ec3\u5468\u671f\u8db3\u591f\u957f\u3001\u8fb9\u9884\u7b97\u7d27\u5f20\u3001\u6216\u9700\u8981\u8de8\u591a\u7ec4\u9884\u7b97\u91cd\u590d\u5b9e\u9a8c\u7684\u573a\u666f\uff0c\u800c\u975e\u5bf9\u4efb\u610f\u89c4\u6a21\u8bad\u7ec3\u7684\u666e\u904d\u52a0\u901f\uff0c\u8fd9\u4e0e\u4e00\u6b21\u5206\u89e3\u3001\u53cd\u590d\u590d\u7528\u7684\u8bbe\u8ba1\u5b9a\u4f4d\u662f\u4e00\u81f4\u7684\u3002<\/p>\n \u5207\u5206\u6df1\u5ea6\u53c2\u6570 Kmax \u7684\u5b9e\u9a8c\u7ed3\u679c\u540c\u6837\u4e0d\u652f\u6301\u300c\u5207\u5f97\u8d8a\u7ec6\u8d8a\u597d\u300d\u7684\u7ebf\u6027\u9884\u671f\u3002\u6df1\u5ea6\u52a0\u5927\u540e\uff0c\u6709\u7684\u6570\u636e\u96c6\u53d7\u76ca\u3001\u6709\u7684\u53cd\u800c\u53d8\u5dee\uff0c\u7a00\u758f\u56fe\u63a8\u7406\u4e0e\u5b8c\u6574\u56fe\u63a8\u7406\u5404\u81ea\u7684\u6700\u4f18\u6df1\u5ea6\u8fd8\u53ef\u80fd\u4e0d\u4e00\u81f4\uff1b\u4e00\u65e6\u67d0\u5f20\u56fe\u7684\u8fb9\u5728\u67d0\u4e2a\u6df1\u5ea6\u5df2\u88ab\u8017\u5c3d\uff0c\u518d\u589e\u5927 Kmax \u4e5f\u4e0d\u4f1a\u53d8\u5316\u2014\u2014ogbn-arxiv \u5728 43 \u5c42\u5c31\u8017\u5c3d\u800c\u8bbe\u5b9a\u4e0a\u9650\u662f 320\uff0cReddit \u4e0e ogbn-proteins \u5219\u4e00\u76f4\u5207\u5230\u4e0a\u9650\u3002\u5c3d\u7ba1\u5404\u6570\u636e\u96c6\u6700\u4f18 Kmax \u5dee\u5f02\u5f88\u5927\uff0c\u7edf\u4e00\u53d6 Kmax=20 \u4e0e\u5404\u81ea\u6700\u4f18\u503c\u7684\u5dee\u8ddd\u57fa\u672c\u90fd\u5728 1 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