{"id":453,"date":"2025-11-25T09:18:15","date_gmt":"2025-11-25T01:18:15","guid":{"rendered":"https:\/\/high-flyer.in.suopu.cc\/?p=453"},"modified":"2025-11-25T09:18:15","modified_gmt":"2025-11-25T01:18:15","slug":"%e8%90%a4%e7%81%ab%e8%b7%91%e6%a8%a1%e5%9e%8b-%e5%88%86%e5%b8%83%e5%bc%8f%e8%ae%ad%e7%bb%83%e5%a4%a7%e8%a7%84%e6%a8%a1%e6%b7%b1%e5%ba%a6%e5%9b%be%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c","status":"publish","type":"post","link":"https:\/\/high-flyer.in.suopu.cc\/en\/blog\/453\/","title":{"rendered":"\u8424\u706b\u8dd1\u6a21\u578b | \u5206\u5e03\u5f0f\u8bad\u7ec3\u5927\u89c4\u6a21\u6df1\u5ea6\u56fe\u795e\u7ecf\u7f51\u7edc"},"content":{"rendered":"<p><strong>\u56fe<\/strong>\uff08Graph\uff09\u6570\u636e\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u975e\u5e38\u5e38\u89c1\uff0c\u4f8b\u5982\u793e\u4ea4\u7f51\u7edc\u3001\u4ea4\u901a\u7f51\u7edc\u3001\u7269\u7406\u7cfb\u7edf\u7b49\u7b49\uff0c\u8fd1\u51e0\u5e74<strong>\u56fe\u795e\u7ecf\u7f51\u7edc<\/strong>\u7684\u53d1\u5c55\u5c06\u56fe\u6570\u636e\u7684\u5206\u6790\u4e0e\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7ed3\u5408\uff0c\u5728\u8d8a\u6765\u8d8a\u591a\u7684\u9886\u57df\u53d1\u6325\u51fa\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u4f8b\u5982\u7535\u5546\u63a8\u8350\u3001\u751f\u7269\u5316\u5b66\u7ed3\u6784\u5206\u6790\u3001\u53cd\u6050\u53cd\u8bc8\u98ce\u9669\u63a7\u5236\u7b49\u7b49\u3002\u6570\u636e\u89c4\u6a21\u4e5f\u5448\u73b0\u8d8a\u6765\u8d8a\u5927\u4e4b\u52bf\uff0c\u52a8\u8f84\u4e0a\u5343\u4e07\u8282\u70b9\u89c4\u6a21\u7684\u56fe\uff0c\u8ba9\u5f88\u591a\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u9700\u8981\u63a2\u5bfb\u5e76\u884c\u8ba1\u7b97\u7684\u65b9\u5f0f\u4ee5\u52a0\u901f\u3002<\/p>\n<p>\u7136\u800c\uff0c\u56fe\u6570\u636e\u4e0e\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u7b49\u9886\u57df\u7684\u6570\u636e\u4e0d\u540c\uff0c\u6ca1\u6709\u5212\u5206\u597d\u7684\u8bad\u7ec3\u6837\u672c\uff0c\u5f88\u591a\u60c5\u51b5\u4e0b\u8bad\u7ec3\u6837\u672c\u662f\u4ece\u4e00\u4e2a\u5de8\u5927\u7684\u56fe\u4e2d\u53bb\u968f\u673a\u91c7\u6837\uff0c\u7279\u5f81\u4e5f\u9700\u8981\u5728\u91c7\u6837\u7684\u8fc7\u7a0b\u4e2d\u904d\u5386\u90bb\u63a5\u8282\u70b9\uff0c\u8fd9\u79cd\u5929\u7136\u7279\u6027\u4f7f\u5f97\u5bf9\u5927\u89c4\u6a21\u56fe\u7684\u5e76\u884c\u8bad\u7ec3\u5e76\u4e0d\u5bb9\u6613\u3002<\/p>\n<p>\u5e7b\u65b9AI\u6700\u8fd1\u5c1d\u8bd5\u5bf9\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u5e76\u884c\u8bad\u7ec3\u8fdb\u884c\u4f18\u5316\uff0c\u4ee5\u00a0<a href=\"https:\/\/ogb.stanford.edu\/\">OGB \u56fe\u6570\u636e\u96c6<\/a>\u4f5c\u4e3a\u8bad\u7ec3\u6837\u672c\uff0c\u5728\u5e7b\u65b9\u8424\u706b\u96c6\u7fa4\u4e0a\u590d\u73b0\u00a0<a href=\"https:\/\/github.com\/lightaime\/deep_gcns_torch\">DeepGCNs<\/a>\u00a0\u7684\u5b9e\u9a8c\u3002\u57fa\u4e8e\u5e7b\u65b9\u81ea\u7814\u7684<a href=\"https:\/\/www.high-flyer.cn\/blog\/3fs\">3FS<\/a>\u3001<a href=\"https:\/\/www.high-flyer.cn\/blog\/hf-reduce\">hfreduce<\/a>\u7b49\u5de5\u5177\uff0c\u91c7\u7528\u7075\u6d3b\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u65b9\u6cd5\uff0c\u8fdb\u884c\u4e0d\u540c\u4efb\u52a1\u573a\u666f\u4e0b\u7684 GNN \u8bad\u7ec3\u63d0\u901f\uff0c\u53d6\u5f97\u9884\u671f\u6548\u679c\u3002\u672c\u671f\u6587\u7ae0\u5c06\u4e3a\u5927\u5bb6\u8be6\u7ec6\u63cf\u8ff0\u3002<\/p>\n<p><strong>\u8bba\u6587\u6807\u9898<\/strong>\uff1aDeepGCNs: Can GCNs Go as Deep as CNNs?<\/p>\n<p><strong>\u539f\u6587\u5730\u5740<\/strong>\uff1a<a href=\"https:\/\/www.deepgcns.org\/\">https:\/\/www.deepgcns.org\/<\/a><\/p>\n<p><strong>model store<\/strong>\uff1a<a href=\"https:\/\/github.com\/HFAiLab\/Distributed-DeepGCNs\">https:\/\/github.com\/HFAiLab\/Distributed-DeepGCNs<\/a><\/p>\n<p><strong>\u6570\u636e\u96c6\u4ed3\u5e93<\/strong>:\u00a0<a href=\"https:\/\/doc.hfai.high-flyer.cn\/api\/datasets.html#hfai.datasets.OGB\">https:\/\/doc.hfai.high-flyer.cn\/api\/datasets.html#hfai.datasets.OGB<\/a><\/p>\n<h2 id=\"\u6a21\u578b\u4ecb\u7ecd\">\u6a21\u578b\u4ecb\u7ecd<\/h2>\n<p><a href=\"https:\/\/www.deepgcns.org\/\"><strong>DeepGCNs<\/strong><\/a>\u00a0\u96c6\u6210\u4e86\u8fd1\u4e24\u5e74\u4e00\u7cfb\u5217\u524d\u6cbf\u7684 GNN \u5de5\u4f5c\uff0c\u5176\u65e8\u5728\u6784\u5efa\u5982 CNN \u4e00\u6837\u7684\u6df1\u5c42\u56fe\u5377\u79ef\u7f51\u7edc\uff0c\u89e3\u51b3\u4f18\u5316\u6df1\u5c42\u7ed3\u6784\u4e2d\u7684\u4e00\u7cfb\u5217\u95ee\u9898\uff0c\u4ee5\u8fbe\u5230\u66f4\u4f18\u7684\u8868\u73b0\u6548\u679c\u3002\u5177\u4f53\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\u5c1d\u8bd5\u6784\u5efa\u6df1\u5c42\u7684\u56fe\u5377\u79ef\u7f51\u7edc\uff08GCN\uff09\uff0c\u63a2\u7d22\u6df1\u5c42 GCN \u7ed3\u6784\u5bfc\u81f4\u7684\u4fe1\u606f\u4f20\u9012\u5feb\uff0c\u5bb9\u6613\u68af\u5ea6\u6d88\u606f\u3001\u8fc7\u6e21\u5e73\u6ed1\u548c\u8fc7\u6e21\u62df\u5408\u7684\u95ee\u9898\uff1b<\/li>\n<li>\u8bbe\u8ba1\u63d0\u51fa\u6b8b\u5dee\u3001\u5bc6\u96c6\u8fde\u63a5\u548c\u7a7a\u6d1e\u5377\u79ef\u7b49\u65b9\u6848\uff0c\u4f7f\u5f97\u6df1\u5c42\u56fe\u5377\u79ef\u7f51\u7edc\u8868\u793a\u66f4\u52a0\u7a33\u5b9a\uff1b<\/li>\n<li>\u8bbe\u8ba1\u63d0\u51fa\u4f7f\u7528\u65b0\u7684\u805a\u5408\u3001\u5f52\u4e00\u5316\u51fd\u6570\uff0c\u4ee5\u7edf\u4e00\u4fe1\u606f\u7684\u4f20\u9012\uff1b<\/li>\n<li>\u7814\u7a76\u9006\u8fde\u63a5\u3001\u7ec4\u5377\u79ef\u3001\u6743\u91cd\u7ed1\u5b9a\u548c\u5e73\u8861\u6a21\u578b\uff0c\u4ee5\u63d0\u9ad8\u6df1\u5c42\u56fe\u5377\u79ef\u6a21\u578b\u7684\u5185\u5b58\u548c\u53c2\u6570\u6548\u7387\u3002<\/li>\n<\/ol>\n<p>DeepGCNs \u7684\u7ed3\u6784\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n<p><span class=\"gatsby-resp-image-wrapper\"><a class=\"gatsby-resp-image-link\" href=\"https:\/\/hfai-static.high-flyer.cn\/static\/9bd9ae00ddc60f1a385245887710eb13\/b4098\/structure.png\" target=\"_blank\" rel=\"noopener\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-454\" title=\"structure\" src=\"http:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/structure.png\" alt=\"structure\" width=\"650\" height=\"207\" srcset=\"https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/structure.png 650w, https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/structure-300x96.png 300w, https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/structure-150x48.png 150w\" sizes=\"(max-width: 650px) 100vw, 650px\" \/><\/a><\/span><\/p>\n<p>\u5728 OGB \u516c\u5f00\u56fe\u6570\u636e\u96c6\u7684\u5f88\u591a\u4efb\u52a1\u6d4b\u8bd5\u4e2d\uff0cDeepGCNs \u90fd\u53d6\u5f97\u4e86\u4f18\u5f02\u7684\u6548\u679c\u3002<\/p>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u5927\u89c4\u6a21\u56fe\u4e0e\u6df1\u5ea6\u56fe\u5377\u79ef\u6a21\u578b\u7684\u7ed3\u5408\u5728\u8d8a\u6765\u8d8a\u591a\u7684\u573a\u666f\u4e2d\u53d1\u6325\u51fa\u60ca\u4eba\u7684\u6548\u679c\uff0c\u5728 OGB \u7684\u516c\u5f00\u7ed3\u679c\u6d4b\u8bd5\u6392\u540d\u4e2d\u53ef\u4ee5\u770b\u5230\uff0c\u5bf9\u663e\u5361\u7b97\u529b\u7684\u9700\u6c42\u8d8a\u6765\u8d8a\u5927\u3002\u5982\u4f55\u9ad8\u6548\u7684\u5229\u7528\u8ba1\u7b97\u8d44\u6e90\uff0c\u5c3d\u53ef\u80fd\u52a0\u901f\u56fe\u5377\u79ef\u7f51\u7edc\u7684\u8bad\u7ec3\uff0c\u662f\u4e4b\u540e\u8d70\u5411\u843d\u5730\u5546\u7528\u7684\u5fc5\u7814\u7a76\u8bfe\u9898\u3002<\/p>\n<h2 id=\"\u56fe\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\">\u56fe\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3<\/h2>\n<p>\u90a3\u4e48\uff0c\u5982\u4f55\u5bf9\u56fe\u6570\u636e\u8fdb\u884c\u5206\u5e03\u5f0f\u8bad\u7ec3\u5462\uff1f\u5728\u8fd9\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u770b\u4e0b\u56fe\u9886\u57df\u4e0b\u7684\u4e09\u5927\u4efb\u52a1\uff1a<\/p>\n<ul>\n<li>\u70b9\u5c5e\u6027\u9884\u6d4b\uff08Node Property Prediction\uff09<\/li>\n<li>\u8fb9\u5c5e\u6027\u9884\u6d4b\uff08Link Property Prediction\uff09\uff0c\u4e5f\u53eb\u4f5c\u94fe\u63a5\u9884\u6d4b<\/li>\n<li>\u56fe\u5c5e\u6027\u9884\u6d4b\uff08Graph Property Prediction\uff09<\/li>\n<\/ul>\n<p>\u8fd9\u91cc\u56fe\u5c5e\u6027\u9884\u6d4b\u4efb\u52a1\u4e0b\uff0c\u8bad\u7ec3\u6837\u672c\u6570\u636e\u7684\u6784\u5efa\u65b9\u5f0f\u548c\u4e00\u822c\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u4efb\u52a1\u7c7b\u4f3c\uff0c\u8f93\u5165\u7684\u5355\u4e2a\u6837\u672c\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u56fe\uff0c\u5206\u5e03\u5f0f\u8bad\u7ec3\u53ef\u4ee5\u5728\u6837\u672c\u5c42\u9762\u505a\u62c6\u5206\u3002\u5177\u4f53\u65b9\u5f0f\u5982\u4e0b\u4f8b\u6240\u793a\uff1a<\/p>\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">from<\/span> torch<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>data<span class=\"token punctuation\">.<\/span>distributed <span class=\"token keyword\">import<\/span> DistributedSampler\r\n<span class=\"token keyword\">from<\/span> torch_geometric<span class=\"token punctuation\">.<\/span>loader <span class=\"token keyword\">import<\/span> DataLoader\r\n\r\ntrain_sampler <span class=\"token operator\">=<\/span> DistributedSampler<span class=\"token punctuation\">(<\/span>train_data<span class=\"token punctuation\">)<\/span>\r\ntrain_loader <span class=\"token operator\">=<\/span> DataLoader<span class=\"token punctuation\">(<\/span>train_data<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">=<\/span><span class=\"token number\">16<\/span><span class=\"token punctuation\">,<\/span> sampler<span class=\"token operator\">=<\/span>train_sampler<span class=\"token punctuation\">,<\/span> num_workers<span class=\"token operator\">=<\/span><span class=\"token number\">8<\/span><span class=\"token punctuation\">,<\/span> pin_memory<span class=\"token operator\">=<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span>\r\n<\/code><\/pre>\n<\/div>\n<p>\u800c\u70b9\u5c5e\u6027\u9884\u6d4b\u548c\u8fb9\u94fe\u63a5\u9884\u6d4b\u5219\u4e0d\u540c\uff0c\u8bad\u7ec3\u6837\u672c\u4e00\u822c\u662f\u4ece\u4e00\u5f20\u5927\u89c4\u6a21\u56fe\u4e2d\u968f\u673a\u6e38\u8d70\u91c7\u6837\u800c\u6210\uff0c\u7279\u522b\u662f\u5f53\u9700\u8981\u8003\u8651\u4e00\u4e9b\u591a\u6b65\u7279\u5f81\u7684\u60c5\u51b5\uff0c\u5206\u5e03\u5f0f\u8bad\u7ec3\u6240\u9700\u7684\u8bad\u7ec3\u6837\u672c\u62c6\u5206\u5c31\u96be\u4ee5\u64cd\u4f5c\u3002<\/p>\n<p>\u90a3\u4e48\u8fd9\u4e24\u79cd\u4efb\u52a1\u5c31\u65e0\u6cd5\u8fdb\u884c\u5e76\u884c\u8bad\u7ec3\u4e86\u5462\uff1f\u5e7b\u65b9AI\u5c31\u8fd9\u4e2a\u95ee\u9898\u8fdb\u884c\u4e86\u8c03\u7814\u548c\u5b9e\u9a8c\uff0c\u603b\u7ed3\u4e86\u5982\u4e0b\u4e24\u79cd\u5e76\u884c\u8bad\u7ec3\u65b9\u5f0f\uff1a<\/p>\n<h3 id=\"1-\u5206\u5272\u5b50\u56fe\">1. \u5206\u5272\u5b50\u56fe<\/h3>\n<p>\u4e00\u79cd\u5e76\u884c\u8bad\u7ec3\u7684\u65b9\u5f0f\u662f<strong>\u5bf9\u5927\u89c4\u6a21\u56fe\u8fdb\u884c\u56fe\u5206\u5272<\/strong>\u3002<\/p>\n<p>\u4e00\u822c\u6765\u8bf4\u5927\u89c4\u6a21\u56fe\u6570\u636e\u91cc\uff0c\u6216\u591a\u6216\u5c11\u4f1a\u5b58\u5728\u4e00\u4e9b\u793e\u7fa4\u5206\u5272\uff0c\u4f8b\u5982\u793e\u4ea4\u7f51\u7edc\u3001\u5b66\u672f\u7f51\u7edc\u7b49\u3002\u5728\u540c\u4e00\u793e\u7fa4\u4e2d\u8282\u70b9\u5f7c\u6b64\u6bd4\u8f83\u76f8\u4f3c\uff0c\u94fe\u63a5\u6027\u66f4\u9ad8\u3002\u56e0\u6b64\uff0c\u5bf9\u4e8e\u4e00\u4e2a\u5927\u89c4\u6a21\u56fe\uff0c\u53ef\u4ee5\u5c06\u56fe\u6839\u636e\u8fde\u901a\u6027\u5207\u5272\u5206\u4e3a\u82e5\u5e72\u4e2a\u5b50\u56fe\uff0c\u7136\u540e\u8fd9\u4e9b\u5b50\u56fe\u4e0a\u8fdb\u884c\u5206\u5e03\u5f0f\u6570\u636e\u5e76\u884c\u8bad\u7ec3\u3002<\/p>\n<p>\u7136\u800c\uff0c\u8fd9\u79cd\u65b9\u5f0f\u9700\u8981\u8fdb\u884c\u6570\u636e\u7684\u9884\u5904\u7406\uff0c\u524d\u671f\u6bd4\u8f83\u8017\u65f6\u3002\u540c\u65f6\uff0c\u56fe\u5206\u5272\u901a\u8fc7\u67d0\u4e00\u6307\u6807\u8fdb\u884c\u5207\u5206\uff0c\u5b9e\u9645\u4e0a\u4eba\u4e3a\u53bb\u9664\u4e86\u67d0\u4e9b\u793e\u7fa4\u95f4\u94fe\u63a5\u7684\u7279\u5f81\uff0c\u8fd9\u5728\u67d0\u4e9b\u573a\u666f\u4e0a\u6765\u8bf4\uff0c\u4e0d\u53ef\u907f\u514d\u4f1a\u5bf9\u6700\u7ec8\u7684\u843d\u5730\u6548\u679c\u9020\u6210\u5f71\u54cd\u3002<\/p>\n<h3 id=\"2-\u5e76\u884c\u8f6e\u6b21\">2. \u5e76\u884c\u8f6e\u6b21<\/h3>\n<p>\u53e6\u5916\u4e00\u79cd\u5e76\u884c\u8bad\u7ec3\u7684\u65b9\u5f0f\uff0c\u662f<strong>\u5e76\u884c\u8f6e\u6b21<\/strong>\u3002<\/p>\n<p>\u5e76\u884c\u8f6e\u6b21\u7684\u51fa\u53d1\u70b9\u662f\uff1a\u65e2\u7136\u4e0d\u80fd\u5728\u6bcf Epoch \u4e0a\u5c06\u8bad\u7ec3\u6837\u672c\u62c6\u5206\u5230\u591a\u5f20\u5361\u4e0a\u8ba1\u7b97\uff0c\u90a3\u53ef\u4ee5\u8003\u8651\u8ba9\u6bcf\u5f20\u8ba1\u7b97\u663e\u5361\u5355\u72ec\u8ba1\u7b97\u4e00\u4e2a Epoch\uff0c\u5408\u5e76\u68af\u5ea6\uff0c\u51cf\u5c11\u8bad\u7ec3\u8f6e\u6b21\uff0c\u8fdb\u800c\u63d0\u5347\u8bad\u7ec3\u6548\u7387\u3002<\/p>\n<p>\u4ee5 DeepGCNs \u7684\u70b9\u9884\u6d4b\u4efb\u52a1\u4e3a\u4f8b\uff1a<\/p>\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">for<\/span> epoch <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span>args<span class=\"token punctuation\">.<\/span>epochs<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n    train_parts <span class=\"token operator\">=<\/span> gdata<span class=\"token punctuation\">.<\/span>random_partition_graph<span class=\"token punctuation\">(<\/span>gdata<span class=\"token punctuation\">.<\/span>total_no_of_nodes<span class=\"token punctuation\">,<\/span> cluster_number<span class=\"token operator\">=<\/span>args<span class=\"token punctuation\">.<\/span>cluster_number<span class=\"token punctuation\">)<\/span>\r\n    train_data <span class=\"token operator\">=<\/span> gdata<span class=\"token punctuation\">.<\/span>generate_sub_graphs<span class=\"token punctuation\">(<\/span>train_parts<span class=\"token punctuation\">,<\/span> cluster_number<span class=\"token operator\">=<\/span>args<span class=\"token punctuation\">.<\/span>cluster_number<span class=\"token punctuation\">)<\/span>\r\n    <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><\/code><\/pre>\n<\/div>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u5728\u5355\u5361\u4e0a\u6bcf Epoch \u90fd\u9700\u8981\u5728\u8fd9\u5f20\u5927\u56fe\u00a0<code class=\"language-text\">gdata<\/code>\u00a0\u4e2d\u968f\u673a\u5212\u5206\u51fa\u591a\u4e2a\u90e8\u5206\uff0c\u7136\u540e\u4f9d\u6b64\u6784\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u7ec4\u6210\u8bad\u7ec3\u6837\u672c\u3002\u8fd9\u79cd\u65b9\u5f0f\u5728\u5355\u5361\u8bad\u7ec3\u4e0a\u6ca1\u6709\u95ee\u9898\uff0c\u7136\u540e\u6269\u5c55\u5230\u591a\u5361\u5e76\u884c\u4f1a\u542f\u52a8\u591a\u4e2a\u8fdb\u7a0b\uff0c\u6bcf\u8f6e\u6bcf\u4e2a\u8fdb\u7a0b\u90fd\u4f1a\u5355\u72ec\u968f\u673a\u91c7\u6837\u51fa\u8bad\u7ec3\u6837\u672c\uff0c\u8fd9\u4f7f\u5f97\u65e0\u6cd5\u4f7f\u7528\u00a0<code class=\"language-text\">DistributedSampler<\/code>\u00a0\u5728\u591a\u5361\u5bf9\u8bad\u7ec3\u6837\u672c\u8fdb\u884c\u5212\u5206\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u7d22\u6027\u4e0d\u5bf9\u8bad\u7ec3\u6837\u672c\u8fdb\u884c\u5212\u5206\uff0c\u8ba9\u6bcf\u8fdb\u7a0b\uff08\u6216\u8005\u8bf4\u6bcf\u5f20\u5361\uff09\u5355\u72ec\u5b8c\u6210\u4e00\u4e2a Epoch \u7684\u8bad\u7ec3\uff0c\u7136\u540e\u518d\u540c\u6b65\u68af\u5ea6\u3002<\/p>\n<p>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u8fd9\u79cd\u65b9\u5f0f\u867d\u7136\u7b80\u5355\u6613\u6267\u884c\uff0c\u4f46\u5b9e\u9645\u6548\u679c\u4e0a\u662f\u589e\u52a0\u4e86 Batch Size\uff0c\u56e0\u6b64\u76f8\u5e94\u7684\u9700\u8981\u589e\u5927\u4e00\u4e9b\u5b66\u4e60\u7387\u4ee5\u4fdd\u8bc1\u8bad\u7ec3\u6548\u679c\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6bcf\u4e2a\u8fdb\u7a0b\u90fd\u9700\u8981\u4ece\u4fdd\u5b58\u5728\u5185\u5b58\u91cc\u7684\u5927\u56fe\u4e2d\u91c7\u6837\u51fa\u5b50\u56fe\u6837\u672c\uff0c\u56e0\u6b64\u5bf9\u96c6\u7fa4\u7684\u6027\u80fd\u8981\u6c42\u76f8\u5e94\u6bd4\u8f83\u9ad8\u3002<\/p>\n<h2 id=\"\u5b9e\u9a8c\">test<\/h2>\n<p>\u8fd9\u91cc\u6211\u4eec\u901a\u8fc7\u5b9e\u9a8c\u6765\u9a8c\u8bc1\u5e76\u884c\u8bad\u7ec3\u7684\u6548\u679c\u3002<\/p>\n<h3 id=\"\u6570\u636e\u96c6\">\u6570\u636e\u96c6<\/h3>\n<p>\u5e7b\u65b9AI\u7684\u6570\u636e\u96c6\u4ed3\u5e93<a href=\"https:\/\/doc.hfai.high-flyer.cn\/api\/datasets.html#hfai.datasets.OGB\">\u96c6\u6210\u4e86 OGB \u5927\u89c4\u6a21\u56fe\u516c\u5f00\u6570\u636e\u96c6<\/a>\uff0c\u901a\u8fc7 3FS \u9ad8\u901f\u5b58\u50a8\u52a0\u901f\u56fe\u6570\u636e\u7684\u8bfb\u53d6\u3002\u5177\u4f53\u7684\u4f7f\u7528\u65b9\u5f0f\u5982\u4e0b\uff1a<\/p>\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">from<\/span> hfai<span class=\"token punctuation\">.<\/span>datasets <span class=\"token keyword\">import<\/span> OGB\r\n\r\ngdata <span class=\"token operator\">=<\/span> OGB<span class=\"token punctuation\">(<\/span>data_name<span class=\"token operator\">=<\/span><span class=\"token string\">'ogbn-proteins'<\/span><span class=\"token punctuation\">)<\/span>\r\ngdata<span class=\"token punctuation\">.<\/span>get_data<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n<span class=\"token keyword\">for<\/span> epoch <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span>args<span class=\"token punctuation\">.<\/span>epochs<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n    <span class=\"token comment\"># training model ...<\/span><\/code><\/pre>\n<\/div>\n<p>\u5982\u4e0a\u4f8b\u4ee3\u7801\uff0c\u6211\u4eec\u52a0\u8f7d hfai \u6570\u636e\u4ed3\u5e93\u4e2d\u7684\u00a0<code class=\"language-text\">ogbn-proteins<\/code>\u00a0\u6570\u636e\uff0c\u5c06\u8fd9\u4e2a\u5927\u56fe\u52a0\u8f7d\u5165\u5185\u5b58\u3002<\/p>\n<h3 id=\"\u6a21\u578b\u8bad\u7ec3\">\u6a21\u578b\u8bad\u7ec3<\/h3>\n<p>\u6211\u4eec\u6d4b\u8bd5\u201c\u5e76\u884c\u8f6e\u6b21\u201d\u7684\u65b9\u6cd5\uff0c\u89c2\u5bdf\u6a21\u578b\u7684\u6536\u655b\u901f\u5ea6\u3002\u9996\u5148\u6211\u4eec\u6d4b\u8bd5\u5355\u5361\u4e0a\uff0cDeepGCNs \u7684\u6536\u655b\u60c5\u51b5\uff1a<\/p>\n<p><span class=\"gatsby-resp-image-wrapper\"><a class=\"gatsby-resp-image-link\" href=\"https:\/\/hfai-static.high-flyer.cn\/static\/b43c99bd3cc73034f6cbb50e99917b89\/350de\/result_1.png\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"alignnone size-full wp-image-456\" title=\"result_1\" src=\"http:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_1.png\" alt=\"result_1\" width=\"650\" height=\"225\" srcset=\"https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_1.png 650w, https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_1-300x104.png 300w, https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_1-150x52.png 150w\" sizes=\"(max-width: 650px) 100vw, 650px\" \/><\/a><\/span><\/p>\n<p>\u4e4b\u540e\uff0c\u6211\u4eec\u5c06\u5b9e\u9a8c\u6269\u5c55\u52308\u5361\u5e76\u884c\uff0c\u6d4b\u8bd5 DeepGCNs \u7684\u6536\u655b\uff1a<\/p>\n<p><span class=\"gatsby-resp-image-wrapper\"><a class=\"gatsby-resp-image-link\" href=\"https:\/\/hfai-static.high-flyer.cn\/static\/ba113dc72bed1ce648cd95ad67914545\/46e51\/result_2.png\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"alignnone size-full wp-image-455\" title=\"result_2\" src=\"http:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_2.png\" alt=\"result_2\" width=\"650\" height=\"224\" srcset=\"https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_2.png 650w, https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_2-300x103.png 300w, https:\/\/high-flyer.in.suopu.cc\/wp-content\/uploads\/2025\/11\/result_2-150x52.png 150w\" sizes=\"(max-width: 650px) 100vw, 650px\" \/><\/a><\/span><\/p>\n<p>\u4ece\u4e0a\u9762\u4e24\u6b21\u6d4b\u8bd5\u7ed3\u679c\u4e2d\u53ef\u4ee5\u770b\u5230\uff0c\u4f7f\u7528\u591a\u5361\u8bad\u7ec3\u4e0b\u6a21\u578b\u6536\u655b\u7684\u901f\u5ea6\u66f4\u5feb\uff0c\u56e0\u4e3a\u5728\u540c\u4e00\u65f6\u95f4\u6a21\u578b\u5582\u5165\u4e86\u66f4\u591a\u7684\u5b50\u56fe\u6570\u636e\uff0c\u68af\u5ea6\u540c\u6b65\u83b7\u5f97\u7684\u635f\u5931\u4fe1\u606f\u66f4\u591a\u3002\u8fd9\u91cc\u9700\u8981\u6ce8\u610f\uff0c\u56e0\u4e3a\u5b50\u56fe\u662f\u901a\u8fc7\u968f\u673a\u91c7\u6837\u51fa\u6765\u7684\uff0c\u56e0\u6b64\u5728\u4e0d\u540c\u7684\u8fdb\u7a0b\u4e2d\u9700\u8981\u4f7f\u7528\u4e0d\u540c\u7684\u968f\u673a\u7b97\u5b50\uff0c\u4f7f\u5f97\u5582\u5165\u7684\u5b50\u56fe\u662f\u4e0d\u4e00\u6837\u7684\u3002\u4ece\u5b9e\u9a8c\u53ef\u5f97\uff0c\u5e76\u884c\u8f6e\u6b21\u53ef\u4ee5\u6709\u6548\u63d0\u5347\u8bad\u7ec3\u6548\u7387\uff0c\u66f4\u5feb\u6a21\u578b\u6536\u655b\uff0c\u8fdb\u800c\u80fd\u76f4\u63a5\u8282\u7701\u8bad\u7ec3\u7684\u8f6e\u6b21\uff0c\u8282\u7701\u8bad\u7ec3\u65f6\u95f4\u3002<\/p>\n<h2 id=\"\u4f53\u9a8c\u603b\u7ed3\">\u4f53\u9a8c\u603b\u7ed3<\/h2>\n<p>\u7efc\u4e0a\uff0c\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u5e76\u884c\u52a0\u901f\u8fd8\u662f\u5207\u5b9e\u53ef\u884c\u7684\u3002\u91c7\u7528\u4e0d\u540c\u4e8e\u5e38\u89c4\u5206\u5e03\u5f0f\u8bad\u7ec3\u7684\u65b9\u5f0f\uff0c\u66f4\u591a\u7684\u8ba1\u7b97\u8d44\u6e90\u53ef\u4ee5\u88ab\u5229\u7528\u8d77\u4ee5\u52a0\u901f\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u3002<\/p>\n<p>\u7efc\u5408\u4f53\u9a8c\u6253\u5206\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li>\u7814\u7a76\u6307\u6570\uff1a\u2605\u2605\u2605\u2605\n<p>\u8be5\u6a21\u578b\u7740\u773c\u7684\u662f\u56fe\u6570\u636e\u573a\u666f\uff0c\u5177\u6709\u5f88\u5e7f\u6cdb\u7684\u7814\u7a76\u5e94\u7528\u573a\u666f\u3002<\/li>\n<li>\u5f00\u6e90\u6307\u6570\uff1a\u2605\u2605\u2605\u2605\u2605\n<p>\u6570\u636e\u548c\u4ee3\u7801\u90fd\u5df2\u5f00\u6e90\uff0c\u4ee3\u7801\u903b\u8f91\u6e05\u6670\u53ef\u8bfb\u6027\u9ad8\u3002<\/li>\n<li>\u95e8\u69db\u6307\u6570\uff1a\u2605\u2605\u2605\n<p>\u6570\u636e\u89c4\u6a21\u4e2d\u7b49\uff0c\u6a21\u578b\u8ba1\u7b97\u5bf9\u7b97\u529b\u7684\u9700\u6c42\u8f83\u9ad8\uff0c\u9700\u8981\u591a\u663e\u5361\u5e76\u884c\u52a0\u901f\u8bad\u7ec3\u3002<\/li>\n<li>\u901a\u7528\u6307\u6570\uff1a\u2605\u2605\u2605\u2605\n<p>\u6a21\u578b\u662f\u901a\u7528\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u5728\u5f88\u591a\u56fe\u6570\u636e\u4e0a\u90fd\u53ef\u4ee5\u9002\u914d\u5e94\u7528\u3002<\/li>\n<li>\u9002\u914d\u6307\u6570\uff1a\u2605\u2605\u2605\u2605\u2605\n<p>\u4f9d\u8d56\u7b80\u5355\uff0c\u5f88\u5bb9\u6613\u4e0e\u5e7b\u65b9AI\u7684\u8bad\u7ec3\u4f18\u5316\u5de5\u5177\u7ed3\u5408\uff0c\u63d0\u6548\u660e\u663e\u3002<\/li>\n<\/ol>\n<p>\u5e7b\u65b9 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