{"id":1071225,"date":"2023-03-21T01:28:00","date_gmt":"2023-03-21T08:28:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-blog-post&#038;p=1071225"},"modified":"2024-09-25T03:32:35","modified_gmt":"2024-09-25T10:32:35","slug":"graph-representation-learning","status":"publish","type":"msr-blog-post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/articles\/graph-representation-learning\/","title":{"rendered":"\u6253\u7834\u62d3\u6251\u7ed3\u6784\u7684\u5929\u82b1\u677f\uff0c\u6df1\u5165\u63a2\u7a76\u5c5e\u6027\u56fe\u4e0a\u8868\u793a\u5b66\u4e60\u7684\u7814\u7a76\u84dd\u6d77"},"content":{"rendered":"\n<p><em>\u4f5c\u8005\uff1a\u793e\u4f1a\u8ba1\u7b97\u7ec4<\/em><\/p>\n\n\n\n<p>\u56fe\u662f\u4e00\u79cd\u901a\u7528\u7684\u6570\u636e\u8868\u793a\u5f62\u5f0f\uff0c\u6765\u81ea\u4e0d\u540c\u9886\u57df\u7684\u6570\u636e\u5747\u53ef\u4ee5\u8868\u793a\u4e3a\u56fe\uff0c\u4f8b\u5982\u6587\u672c\u6570\u636e\u53ef\u4ee5\u770b\u6210\u662f\u4e00\u7ef4\u56fe\uff0c\u56fe\u50cf\u53ef\u4ee5\u770b\u6210\u662f\u4e8c\u7ef4\u56fe\uff0c\u5206\u5b50\u548c\u86cb\u767d\u8d28\u7b49\u5b9e\u4f53\u4e5f\u53ef\u4ee5\u5929\u7136\u5730\u7684\u7528\u56fe\u8868\u793a\u3002\u901a\u4fd7\u800c\u8a00\uff1a\u4e07\u7269\u7686\u53ef\u56fe\u3002<\/p>\n\n\n\n<p>\u800c\u56fe\u8868\u793a\u5b66\u4e60\uff08Graph Representation Learning\uff0cGRL\uff09\u80fd\u591f\u5c06\u56fe\u4e2d\u7684\u8282\u70b9\u6216\u8005\u6574\u4e2a\u56fe\u8f6c\u5316\u4e3a\u4f4e\u7ef4\u53ef\u8ba1\u7b97\u7684\u5411\u91cf\uff0c\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5904\u7406\u56fe\u8fd9\u79cd\u9ad8\u7ef4\u590d\u6742\u7684\u6570\u636e\u5f62\u5f0f\u63d0\u4f9b\u4e86\u5408\u9002\u7684\u8ba1\u7b97\u63a5\u53e3\u3002\u6839\u636e\u7c97\u7565\u7edf\u8ba1\uff0c\u8fd1\u5e74\u6765\uff0c\u6bcf\u4e00\u5e74\u5404\u5927\u9876\u4f1a\u4e0a\u6536\u5f55\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\uff08Graph Neural Networks\uff0cGNNs\uff09\u8bba\u6587\u6570\u76ee\u589e\u957f\u8fc5\u901f\uff0c\u76f8\u5173\u7814\u7a76\u4e0e\u5e94\u7528\u4e5f\u84ec\u52c3\u53d1\u5c55\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"743\" height=\"383\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-1.png\" alt=\"\u56fe1\uff1a\u8fd1\u5e74\u6765\u5404\u5927\u4f1a\u8bae\u4e0a GNN \u76f8\u5173\u7684\u8bba\u6587\u6570\u76ee\" class=\"wp-image-1071252\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-1.png 743w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-1-300x155.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-1-240x124.png 240w\" sizes=\"auto, (max-width: 743px) 100vw, 743px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1a\u8fd1\u5e74\u6765\u5404\u5927\u4f1a\u8bae\u4e0a GNN \u76f8\u5173\u7684\u8bba\u6587\u6570\u76ee<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44435\"><\/p>\n\n\n\n<p>\u4f46\u662f\uff0c\u4e0e\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u9886\u57df\u7684\u8bed\u8a00\u6a21\u578b LM \u548c\u8ba1\u7b97\u673a\u89c6\u89c9\uff08CV\uff09\u9886\u57df\u7684 ViT (Vision Transformer)\u76f8\u6bd4\uff0cGNN \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u5f71\u54cd\u4ecd\u76f8\u5bf9\u8f83\u5f31\u3002\u5bf9\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u5458\u793e\u4f1a\u8ba1\u7b97\u7ec4\u7684\u7814\u7a76\u5458\u4eec\u6df1\u5165\u63a2\u7a76\u4e86\u76ee\u524d GNN \u7684\u673a\u5236\u548c\u539f\u7406\uff0c\u4ece\u6839\u6e90\u4e0a\u5206\u6790\u62d3\u6251\u7ed3\u6784\u5f62\u6210\u7684\u539f\u56e0\uff0c\u63d0\u51fa\u9488\u5bf9\u8282\u70b9\u5c5e\u6027\u7684\u7406\u89e3\u5efa\u6a21\u6709\u53ef\u80fd\u6bd4\u62d3\u6251\u7ed3\u6784\u5efa\u6a21\u66f4\u52a0\u91cd\u8981\uff0c\u8fdb\u800c\u5f62\u6210\u4e86\u4e00\u7cfb\u5217\uff08\u6587\u672c\uff09\u5c5e\u6027\u56fe\u4e0a\u7684\u8868\u793a\u5b66\u4e60\u7684\u5de5\u4f5c\u3002<\/p>\n\n\n\n<p>\u5728\u4eca\u5929\u7684\u6587\u7ae0\u4e2d\uff0c\u7814\u7a76\u5458\u4eec\u5c06\u4ece\u65b0\u7684\u89c6\u89d2\u5b9a\u4e49\u548c\u5229\u7528\u62d3\u6251\u7ed3\u6784\uff0c\u63ed\u793a\u8bed\u8a00\u6a21\u578b\u4e0e\u62d3\u6251\u7ed3\u6784\u4e4b\u95f4\u7684\u5173\u8054\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u5efa\u6a21\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\">\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u5efa\u6a21\u7684\u56fe\u795e\u7ecf\u7f51\u7edc<\/h2>\n\n\n\n<p>\u76ee\u524d\u5e38\u89c1\u7684 GNN \u6a21\u578b\u4e00\u822c\u7740\u773c\u4e8e\u6316\u6398\u62d3\u6251\u7ed3\u6784\u4e2d\u72ec\u7279\u7684\u77e5\u8bc6\u3002GNN \u6a21\u578b\u901a\u5e38\u4f1a\u5148\u5c06\u8282\u70b9\u8868\u793a\u4e3a\u4e00\u4e2a\u7279\u5f81\u5411\u91cf\uff0c\u7136\u540e\u8bbe\u8ba1\u590d\u6742\u800c\u7cbe\u7ec6\u7684\u805a\u5408\u51fd\u6570\u6765\u6355\u6349\u4e2d\u5fc3\u8282\u70b9\u5468\u56f4\u7684\u62d3\u6251\u7ed3\u6784\u4fe1\u606f\u3002\u4ee5\u77e5\u8bc6\u56fe\u8c31\u8fd9\u4e2a\u5e38\u89c1\u7684\u56fe\u6570\u636e\u4e3a\u4f8b\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u53d1\u8868\u5728 ICML 2022\u7684 \u300aHousE: Knowledge Graph Embedding with Householder Parameterization\u300b \u5de5\u4f5c\u4e2d\u63d0\u51fa\u4e86\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u3001\u5177\u6709\u5f3a\u5927\u7efc\u5408\u5efa\u6a21\u80fd\u529b\u7684\u77e5\u8bc6\u56fe\u8c31\u8868\u793a\u5b66\u4e60\uff08Knowledge Graph Embedding, KGE\uff09\u6a21\u578b[1]\u3002<\/p>\n\n\n\n<p>KGE \u6a21\u578b\u65e8\u5728\u5b66\u4e60\u77e5\u8bc6\u56fe\u8c31\u4e2d\u5b9e\u4f53\u548c\u5173\u7cfb\u7684\u8868\u793a\u3002\u8fd9\u4e9b\u6a21\u578b\u7684\u6027\u80fd\u597d\u574f\u5f88\u5927\u7a0b\u5ea6\u53d6\u51b3\u4e8e\u5bf9 KG \u4e2d\u5173\u7cfb\u6a21\u5f0f\uff08relation pattern\uff09\u548c\u5173\u7cfb\u6620\u5c04\u5c5e\u6027\uff08relation mapping property\uff09\u5efa\u6a21\u7684\u80fd\u529b\u3002\u77e5\u8bc6\u56fe\u8c31\u4e2d\u91cd\u8981\u7684\u5173\u7cfb\u6a21\u5f0f\u6709\uff1a\uff081\uff09\u5bf9\u79f0\uff0c\u5982 is_friend_of \u5c31\u662f\u4e00\u79cd\u5bf9\u79f0\u5173\u7cfb\uff1b\uff082\uff09\u975e\u5bf9\u79f0\uff0c\u5982 is_father_of \u5c31\u662f\u4e00\u79cd\u975e\u5bf9\u79f0\u5173\u7cfb\uff1b\uff083\uff09\u9006\uff0c\u5982 is_teacher_of \u548c is_student_of \u5c31\u662f\u4e00\u5bf9\u4e92\u9006\u7684\u5173\u7cfb\uff1b\uff084\uff09\u7ec4\u5408\uff0c\u5982 is_grandmother_of \u5c31\u662f is_father_of \u548c is_mother_of \u7684\u7ec4\u5408\u5173\u7cfb\u3002\u5173\u7cfb\u7684\u6620\u5c04\u5c5e\u6027\u5219\u6709\u4e00\u5bf9\u4e00\u5173\u7cfb\u3001\u4e00\u5bf9\u591a\u5173\u7cfb\u3001\u591a\u5bf9\u4e00\u5173\u7cfb\u548c\u591a\u5bf9\u591a\u5173\u7cfb\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"734\" height=\"496\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-2.png\" alt=\"\u56fe2\uff1a\u56db\u79cd\u91cd\u8981\u5173\u7cfb\u6a21\u5f0f\u548c\u4e24\u79cd\u590d\u6742\u7684\u5173\u7cfb\u6620\u5c04\u5c5e\u6027\" class=\"wp-image-1071255\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-2.png 734w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-2-300x203.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-2-240x162.png 240w\" sizes=\"auto, (max-width: 734px) 100vw, 734px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1a\u56db\u79cd\u91cd\u8981\u5173\u7cfb\u6a21\u5f0f\u548c\u4e24\u79cd\u590d\u6742\u7684\u5173\u7cfb\u6620\u5c04\u5c5e\u6027<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44436\"><\/p>\n\n\n\n<p>\u88681\u603b\u7ed3\u4e86\u73b0\u5728\u6709\u4ee3\u8868\u6027\u7684 KGE \u65b9\u6cd5\u7684\u5efa\u6a21\u80fd\u529b\uff0c\u5176\u4e2d\u8fd8\u5305\u542b\u5bf9\u8fd9\u4e9b\u65b9\u6cd5\u5c40\u9650\u6027\u7684\u5206\u6790\uff1a\uff081\uff09\u867d\u7136\u5c06\u5173\u7cfb\u89c6\u4e3a\u5b9e\u4f53\u95f4\u7684\u65cb\u8f6c\u53d8\u6362\u662f\u5bf9\u591a\u79cd\u5173\u7cfb\u6a21\u5f0f\u5efa\u6a21\u7684\u6709\u6548\u65b9\u6cd5\uff0c\u7136\u800c\u5173\u7cfb\u7684\u65cb\u8f6c\u65e0\u6cd5\u7a81\u7834\u4f4e\u7ef4\u7a7a\u95f4\uff082\u30013\u30014\u7ef4\uff09\u5f88\u5927\u7a0b\u5ea6\u5730\u9650\u5236\u4e86\u6a21\u578b\u7684\u5efa\u6a21\u80fd\u529b\uff1b\uff082\uff09\u8fd8\u672a\u51fa\u73b0\u80fd\u5b8c\u7f8e\u6f14\u7ece\u77e5\u8bc6\u56fe\u8c31\u4e2d\u7684\u91cd\u8981\u5173\u7cfb\u6a21\u5f0f\u4e0e\u590d\u6742\u6620\u5c04\u5c5e\u6027\u7684\u201c\u516d\u8fb9\u5f62\u6218\u58eb\u201d\u6a21\u578b\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"380\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3-1024x380.png\" alt=\"\u88681\uff1a\u73b0\u6709\u5178\u578b\u7684 KGE \u6a21\u578b\u5bf9\u91cd\u8981\u5173\u7cfb\u6a21\u5f0f\u548c\u590d\u6742\u6620\u5c04\u5c5e\u6027\u7684\u5efa\u6a21\u80fd\u529b\" class=\"wp-image-1071258\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3-1024x380.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3-300x111.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3-768x285.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3-240x89.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3-1280x476.png 1280w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-3.png 1284w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u88681\uff1a\u73b0\u6709\u5178\u578b\u7684 KGE \u6a21\u578b\u5bf9\u91cd\u8981\u5173\u7cfb\u6a21\u5f0f\u548c\u590d\u6742\u6620\u5c04\u5c5e\u6027\u7684\u5efa\u6a21\u80fd\u529b<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44437\"><\/p>\n\n\n\n<p>\u73b0\u6709\u65b9\u6cd5\u7684\u5c40\u9650\u6027\u4fc3\u4f7f\u7814\u7a76\u5458\u4eec\u601d\u8003\uff1a\u5982\u4f55\u8bbe\u8ba1\u4e00\u4e2a\u5177\u6709\u5efa\u6a21\u80fd\u529b\u66f4\u5168\u9762\u7684 KGE \u6a21\u578b\uff1f\u4e3a\u6b64\uff0c\u672c\u7814\u7a76\u5f15\u5165\u4e86 Householder \u53cd\u5c04\u53d8\u6362\u4f5c\u4e3a\u57fa\u672c\u6570\u5b66\u5de5\u5177\uff0c\u5e76\u57fa\u4e8e\u6b64\u8bbe\u8ba1\u4e86\u4e24\u79cd\u7ebf\u6027\u53d8\u6362\u4f5c\u4e3a\u77e5\u8bc6\u56fe\u8c31\u4e2d\u7684\u5173\u7cfb\u8868\u793a\u3002\u5728 Householder \u6846\u67b6\u4e0b\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 HousE\u3002HousE \u662f\u73b0\u6709\u57fa\u4e8e\u65cb\u8f6c\u7684 KGE \u6a21\u578b\u7684\u5347\u7ea7\u7248\u3002\u5982\u88682\u4e2d\u6240\u793a\uff0cHousE \u80fd\u591f\u81ea\u7136\u5730\u5c06\u65cb\u8f6c\u6269\u5c55\u5230\u4efb\u610f k \u7ef4\uff0c\u5e76\u4e14\u5176\u5efa\u6a21\u80fd\u529b\u80fd\u591f\u8986\u76d6\u88681\u4e2d\u7684\u6240\u6709\u5173\u7cfb\u6a21\u5f0f\u4e0e\u6620\u5c04\u5c5e\u6027\u3002\u5728\u591a\u4e2a\u516c\u5f00\u77e5\u8bc6\u56fe\u8c31\u57fa\u51c6\u6570\u636e\u96c6\u8fdb\u884c\u9a8c\u8bc1\u7684\u5b9e\u9a8c\u8868\u660e\uff0cHousE \u660e\u663e\u4f18\u4e8e\u73b0\u6709\u7684\u57fa\u51c6\u6a21\u578b\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"343\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4-1024x343.png\" alt=\"\u88682\uff1a\u4e0d\u540c KGE \u6a21\u578b\u5728\u6807\u51c6\u6570\u636e\u96c6\u4e0a\u7684\u6548\u679c\" class=\"wp-image-1071261\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4-1024x343.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4-300x101.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4-768x258.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4-1536x515.png 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4-240x80.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-4.png 1637w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u88682\uff1a\u4e0d\u540c KGE \u6a21\u578b\u5728\u6807\u51c6\u6570\u636e\u96c6\u4e0a\u7684\u6548\u679c<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44438\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u7684\u5efa\u6a21\u771f\u7684\u6ca1\u95ee\u9898\u4e48\">\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u7684\u5efa\u6a21\u771f\u7684\u6ca1\u95ee\u9898\u4e48\uff1f<\/h2>\n\n\n\n<p>\u968f\u7740\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u5feb\u901f\u53d1\u5c55\uff0cGNN \u88ab\u666e\u904d\u5e94\u7528\u4e8e NLP\u3001\u63a8\u8350\u7cfb\u7edf\u3001\u81ea\u7136\u79d1\u5b66\u7b49\u9886\u57df\u3002\u4f8b\u5982\uff0c\u5728\u63a8\u8350\u7cfb\u7edf\u4e2d\uff0c\u6bcf\u4e2a\u7528\u6237\u548c\u5546\u54c1\u90fd\u53ef\u4ee5\u770b\u6210\u662f\u56fe\u4e2d\u7684\u4e24\u7c7b\u8282\u70b9\uff0c\u4e24\u8005\u4e4b\u95f4\u7684\u5386\u53f2\u4ea4\u4e92\u884c\u4e3a\uff08\u4f8b\u5982\u70b9\u51fb\u3001\u8d2d\u4e70\u7b49\uff09\u6784\u6210\u4e86\u56fe\u4e0a\u7684\u8fb9\u3002\u57fa\u4e8e\u56fe\u7684\u63a8\u8350\u7cfb\u7edf\u6709\u52a9\u4e8e\u6355\u6349\u9ad8\u9636\u7684\u534f\u540c\u8fc7\u6ee4\u4fe1\u53f7\uff08Collaborative Filtering, CF\uff09\uff0c\u56e0\u6b64\u53ef\u4ee5\u66f4\u597d\u7684\u523b\u753b\u7528\u6237\u7684\u5174\u8da3\u504f\u597d\u3002<\/p>\n\n\n\n<p>\u8003\u8651\u5230\u201c\u4e07\u7269\u7686\u53ef\u56fe\u201d\u7684\u666e\u9002\u6027\uff0c\u96be\u9053\u57fa\u4e8e\u56fe\u62d3\u6251\u7ed3\u6784\u7684\u5efa\u6a21\u771f\u7684\u65e0\u61c8\u53ef\u51fb\u4e48\uff1f<\/p>\n\n\n\n<p>\u5176\u5b9e\u4e0d\u7136\u3002\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u7684\u5efa\u6a21\u9762\u4e34\u7740\u4ee5\u4e0b\u51e0\u4e2a\u95ee\u9898\uff1a<\/p>\n\n\n\n<p>\uff081\uff09\u4e0d\u53ef\u77e5\u6027\u3002\u56fe\u62d3\u6251\u7ed3\u6784\u7684\u590d\u6742\u6027\u4f7f\u5f97\u4eba\u5f88\u96be\u5bf9\u5176\u8fdb\u884c\u6df1\u5165\u4e14\u51c6\u786e\u7684\u8ba4\u77e5\u3002\u5224\u65ad\u4e24\u4e2a\u5e8f\u5217\u662f\u5426\u76f8\u4f3c\uff0c\u4f8b\u5982\u4e24\u6bb5\u6587\u672c\u662f\u5426\u76f8\u5173\uff0c\u5e76\u4e0d\u96be\u3002\u4f46\u662f\u5224\u65ad\u4e24\u4e2a\u56fe\u662f\u5426\u76f8\u4f3c\u6216\u8005\u540c\u6784\uff08\u4f8b\u5982Graph Matching\uff09\uff0c\u5219\u662f NP-hard \u95ee\u9898\u3002\u4f8b\u5982\uff0c\u56fe3\u4e2d\u7684\u4e24\u5f20\u56fe\u770b\u8d77\u6765\u533a\u522b\u5f88\u5927\uff0c\u4f46\u5b9e\u9645\u4e0a\u662f\u7b49\u4ef7\u7684\u3002\u5982\u679c\u51c6\u786e\u7406\u89e3\u5224\u65ad\u56fe\u62d3\u6251\u7ed3\u6784\u5bf9\u4eba\u6765\u8bf4\u90fd\u7b97\u96be\u9898\uff0c\u90a3\u4e48\u5f88\u96be\u671f\u5f85\u673a\u5668\u5b66\u4e60\u6a21\u578b\u80fd\u591f\u5728\u8fd9\u79cd\u4e0d\u53ef\u77e5\u7684\u6570\u636e\u4e0a\u8fbe\u5230\u66f4\u597d\u7684\u6548\u679c\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"180\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-5.png\" alt=\"\u56fe3\uff1a\u56fe\u5339\u914d\u95ee\u9898\u7684\u4e00\u4e2a\u4f8b\u5b50[2]\n\" class=\"wp-image-1071264\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-5.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-5-240x144.png 240w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1a\u56fe\u5339\u914d\u95ee\u9898\u7684\u4e00\u4e2a\u4f8b\u5b50[2]<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44439\">\uff082\uff09\u4f4e\u8ba1\u7b97\u6548\u7387\u548c\u9ad8\u8d44\u6e90\u6d88\u8017\u3002\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u4e00\u5927\u7279\u5f81\u662f\u53ef\u4ee5\u5229\u7528\u9ad8\u9636\u7684\u8fdc\u8ddd\u79bb\u90bb\u5c45\u6765\u63d0\u4f9b\u4e30\u5bcc\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u4f46\u540c\u65f6\uff0c\u8fd9\u79cd\u8fdc\u8ddd\u79bb\u7684\u4f9d\u8d56\u5e26\u6765\u4e86\u201c\u90bb\u5c45\u7206\u70b8\u201d\uff08neighborhood explosion\uff09\u7684\u6311\u6218\u3002\u5047\u8bbe\u8282\u70b9\u7684\u5e73\u5747\u5ea6\u6570\u4e3a k\uff0c\u90a3\u4e48 l \u8df3\u4e4b\u5185\u7684\u8282\u70b9\u6570\u76ee\u4e3a N=k^1+k^2+\u2026+k^l\u3002GNN \u7684\u805a\u5408\u8fc7\u7a0b\u9700\u8981 N \u4e2a\u8282\u70b9\u7684\u4fe1\u606f\u6765\u5b66\u4e60\u5355\u4e2a\u8282\u70b9\u7684\u8868\u793a\uff0c\u4e00\u65b9\u9762\u8fd9\u9700\u8981\u66f4\u5927\u7684\u5185\u5b58\u6765\u5b58\u50a8\u8fd9\u79cd\u6307\u6570\u89c4\u6a21\u7684\u90bb\u5c45\u8282\u70b9\uff0c\u53e6\u4e00\u65b9\u9762\u4e5f\u4f1a\u6781\u5927\u5f71\u54cd\u6a21\u578b\u7684\u8bad\u7ec3\u901f\u5ea6\u3002<\/p>\n\n\n\n<p>\uff083\uff09\u62d3\u6251\u7ed3\u6784\u7684\u53ef\u9760\u6027\u3002\u4f8b\u5982\u5728\u793e\u4ea4\u7f51\u7edc\u4e2d\uff0c\u7531\u4e8e\u7528\u6237\u884c\u4e3a\u7684\u968f\u673a\u6027\u548c\u4e0d\u786e\u5b9a\u6027\uff0c\u67d0\u4e2a\u793e\u4ea4\u7528\u6237\u53ef\u80fd\u9519\u8bef\u5730\u5173\u6ce8\u6216\u70b9\u51fb\u4e86\u4e00\u4e9b\u4e0d\u76f8\u5173\u7684\u5176\u4ed6\u7528\u6237\uff0c\u5e26\u6765\u4e86\u62d3\u6251\u7ed3\u6784\u4e2d\u7684\u566a\u58f0\u3002\u8fd9\u7c7b\u566a\u58f0\u4f1a\u968f\u7740\u9010\u6761\u7684\u4fe1\u606f\u805a\u5408\u800c\u9010\u6e10\u589e\u5f3a\uff0c\u4f7f\u5f97\u5b66\u4e60\u5230\u7684\u7528\u6237\u8868\u793a\u4e0d\u591f\u51c6\u786e\u3002<\/p>\n\n\n\n<p>\u6839\u636e\u4ee5\u4e0a\u5206\u6790\uff0c\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u7684\u5efa\u6a21\u53ef\u80fd\u5e76\u4e0d\u662f\u6700\u4f18\u89e3\uff0c\u800c\u4e14 GNN \u5728\u5982\u77ed\u5e8f\u5217\u63a8\u8350\uff08Session-based recommendation\uff0cSBR\uff09\u7b49\u573a\u666f\u4e2d\u4e5f\u5e76\u4e0d\u4e00\u5b9a\u6709\u6548\u3002\u4f8b\u5982\uff0c\u77ed\u5e8f\u5217\u63a8\u8350\uff08SBR\uff09\u662f\u9488\u5bf9\u7528\u6237\u5728\u77ed\u671f\u3001\u52a8\u6001\u7684\u4f1a\u8bdd\uff08\u5373\u7528\u6237\u4e00\u6bb5\u65f6\u95f4\u5185\u7684\u6d3b\u52a8\u5e8f\u5217\uff09\u4e2d\u7684\u884c\u4e3a\u8fdb\u884c\u63a8\u8350\u3002\u4e0e\u4f20\u7edf\u7684\u57fa\u4e8e\u7528\u6237\u6216\u7269\u54c1\u7684\u63a8\u8350\u7cfb\u7edf\u4e0d\u540c\uff0cSBR \u66f4\u6ce8\u91cd\u5f53\u524d\u4f1a\u8bdd\u4e2d\u7528\u6237\u7684\u5b9e\u65f6\u9700\u6c42\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5e94\u5bf9\u7528\u6237\u5174\u8da3\u7684\u5feb\u901f\u53d8\u5316\u548c\u957f\u5c3e\u5546\u54c1\u7684\u63a8\u8350\u95ee\u9898\u3002\u6700\u8fd1\u7684 SBR \u7814\u7a76\uff08SR-GNN[4]\uff0cSGNN-HN[5]\u548cDHCN[6]\u7b49\uff09\u4e5f\u51fa\u73b0\u4e86\u5927\u91cf\u4f7f\u7528\u57fa\u4e8e GNN \u7684\u6a21\u578b\u3002\u4f46\u4e0e\u6a21\u578b\u590d\u6742\u5ea6\u7684\u6307\u6570\u7ea7\u589e\u957f\u76f8\u6bd4\uff0c\u8fd9\u4e9b\u6a21\u578b\u5728\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u5e26\u6765\u7684\u6027\u80fd\u63d0\u5347\u5374\u5fae\u4e4e\u5176\u5fae\u3002\u9274\u4e8e\u8fd9\u79cd\u73b0\u8c61\uff0c\u7814\u7a76\u5458\u4eec\u7684\u7591\u95ee\u662f\uff1a\u57fa\u4e8e GNN \u7684\u6a21\u578b\u5bf9\u4e8e SBR \u6765\u8bf4\uff0c\u662f\u8fc7\u4e8e\u7b80\u5355\uff0c\u8fd8\u662f\u8fc7\u4e8e\u590d\u6742\u4e86\uff1f<\/p>\n\n\n\n<p>\u4e3a\u4e86\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u7814\u7a76\u5458\u4eec\u5c1d\u8bd5\u5256\u6790\u73b0\u6709\u7684\u57fa\u4e8e GNN \u7684 SBR \u6a21\u578b\uff0c\u5e76\u5206\u6790\u5b83\u4eec\u5728 SBR \u4efb\u52a1\u4e0a\u7684\u4f5c\u7528\u3002\u5982\u56fe4\u6240\u793a\uff0c\u5178\u578b\u7684\u57fa\u4e8e GNN \u7684 SBR \u6a21\u578b\u53ef\u4ee5\u5206\u89e3\u4e3a\u4e24\u4e2a\u90e8\u5206\uff1aGNN \u6a21\u5757\u548c Readout \u6a21\u5757\u3002\u5206\u522b\u5728\u8fd9\u4e24\u4e2a\u90e8\u5206\u4e0a\u5e94\u7528 Sparse Variational Dropout\uff08SparseVD\uff09\u5728\u8bad\u7ec3\u6a21\u578b\u65f6\u8ba1\u7b97\u53c2\u6570\u7684\u5bc6\u5ea6\u6bd4\uff08density ratio\uff09\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"931\" height=\"145\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-6.png\" alt=\"\u56fe4\uff1a\u57fa\u4e8e GNN \u7684 SBR \u6a21\u578b\u7684\u5efa\u6a21\u8303\u5f0f\" class=\"wp-image-1071267\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-6.png 931w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-6-300x47.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-6-768x120.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-6-240x37.png 240w\" sizes=\"auto, (max-width: 931px) 100vw, 931px\" \/><figcaption class=\"wp-element-caption\">\u56fe4\uff1a\u57fa\u4e8e GNN \u7684 SBR \u6a21\u578b\u7684\u5efa\u6a21\u8303\u5f0f<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44440\"><\/p>\n\n\n\n<p>\u53ef\u4ee5\u4ece\u56fe5\u5de6\u56fe\u4e2d GNN \u6a21\u5757\u7684\u5bc6\u5ea6\u6bd4\u770b\u51fa\uff0c\u968f\u7740\u8bad\u7ec3\u8d8b\u4e8e\u7a33\u5b9a\uff0c\u8be5\u5bc6\u5ea6\u6bd4\u8d8b\u4e8e0\u3002\u800c\u53f3\u56fe\u6240\u8868\u793a\u7684 Readout \u6a21\u5757\u663e\u793a\u968f\u7740\u8bad\u7ec3\u7684\u8fdb\u884c\uff0c\u6ce8\u610f\u529b\u6c60\u5316\u6743\u91cd\u7684\u5bc6\u5ea6\u6bd4\u53ef\u4ee5\u4fdd\u6301\u5728\u4e00\u4e2a\u8f83\u9ad8\u6c34\u5e73\u3002\u5728\u5176\u4ed6\u6570\u636e\u96c6\u548c\u5176\u4ed6 GNN-based SBR \u6a21\u578b\u4e0a\uff0c\u4e5f\u51fa\u73b0\u4e86\u76f8\u540c\u7684\u8d8b\u52bf\u3002\u56e0\u6b64\u5f97\u51fa\u7ed3\u8bba\uff1aGNN \u6a21\u5757\u7684\u53c2\u6570\u5f88\u6709\u53ef\u80fd\u662f\u5197\u4f59\u7684\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"423\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-1024x423.jpg\" alt=\"\u56fe5\uff1aSBR \u6a21\u578b\u4e2d\u4e0d\u540c\u6a21\u5757\u7684\u53c2\u6570\u91cd\u8981\u5ea6\u5206\u6790\" class=\"wp-image-1071270\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-1024x423.jpg 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-300x124.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-768x318.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-1536x635.jpg 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-2048x847.jpg 2048w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-7-240x99.jpg 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe5\uff1aSBR \u6a21\u578b\u4e2d\u4e0d\u540c\u6a21\u5757\u7684\u53c2\u6570\u91cd\u8981\u5ea6\u5206\u6790<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44441\"><\/p>\n\n\n\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u53d1\u73b0\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4ee5\u4e0b\u7528\u4e8e SBR \u7684\u66f4\u7b80\u5355\u4f46\u66f4\u6709\u6548\u7684\u6a21\u578b\u8bbe\u8ba1\u51c6\u5219\uff1a<\/p>\n\n\n\n<p>(1)\u4e0d\u5f3a\u8c03\u590d\u6742\u7684 GNN \u8bbe\u8ba1\uff0c\u66f4\u503e\u5411\u4e8e\u5220\u9664 GNN \u4f20\u64ad\u90e8\u5206\uff0c\u4ec5\u4fdd\u7559\u521d\u59cb\u5d4c\u5165\u5c42\uff1b<\/p>\n\n\n\n<p>(2)SBR \u6a21\u578b\u5e94\u8be5\u66f4\u52a0\u5173\u6ce8\u57fa\u4e8e\u6ce8\u610f\u529b\u7684 Readout \u6a21\u5757\u3002\u7531\u4e8e\u6ce8\u610f\u529b\u6c60\u5316\u6743\u91cd\u53c2\u6570\u4fdd\u7559\u4e86\u8f83\u9ad8\u5bc6\u5ea6\u6bd4\uff0c\u7814\u7a76\u5458\u4eec\u63a8\u6d4b\uff0c\u5728\u57fa\u4e8e\u6ce8\u610f\u529b\u7684 Readout \u65b9\u6cd5\u4e0a\u8fdb\u884c\u5148\u8fdb\u7684\u67b6\u6784\u8bbe\u8ba1\u5c06\u4f1a\u66f4\u6709\u6548\u3002\u7531\u4e8e\u653e\u5f03\u4e86\u5bf9 GNN \u4f20\u64ad\u90e8\u5206\u7684\u8981\u6c42\uff0cReadout \u6a21\u5757\u5e94\u8be5\u627f\u62c5\u66f4\u591a\u6a21\u578b\u63a8\u7406\u4e0a\u7684\u8d23\u4efb\u3002\u8003\u8651\u5230\u73b0\u6709\u57fa\u4e8e\u5b9e\u4f8b\u89c6\u56fe\uff08instance-view\uff09\u7684 Readout \u6a21\u5757\u7684\u63a8\u7406\u80fd\u529b\u4e0d\u8db3\uff0c\u6240\u4ee5\u9700\u8981\u8bbe\u8ba1\u5177\u6709\u66f4\u5f3a\u5927\u63a8\u7406\u80fd\u529b\u7684 Readout \u6a21\u5757\u3002<\/p>\n\n\n\n<p>\u56e0\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u540d\u4e3a Atten-Mixer \u7684\u6a21\u578b\uff0c\u76f8\u5173\u8bba\u6587\u53d1\u8868\u4e8e WSDM 2023\uff0c\u5e76\u83b7\u5f97\u4e86 Best Paper Runner-up \u5956\u9879[3]\u3002\u5982\u88684\u7684\u5b9e\u9a8c\u7ed3\u679c\u6240\u793a\uff0c\u5373\u4f7f\u79fb\u9664\u4e86 GNN \u6a21\u5757\uff0cAtten-Mixer \u5728\u591a\u4e2a\u5e38\u7528\u7684\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u4ecd\u4f18\u4e8e\u590d\u6742\u7684\u57fa\u4e8e GNN \u7684\u6a21\u578b\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"356\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-8-1024x356.png\" alt=\"\u88684\uff1a\u4e0d\u540c\u7684 SBR \u6a21\u578b\u5728\u5e38\u89c1\u6570\u636e\u96c6\u4e0a\u7684\u6548\u679c\" class=\"wp-image-1071273\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-8-1024x356.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-8-300x104.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-8-768x267.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-8-240x83.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-8.png 1055w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u88684\uff1a\u4e0d\u540c\u7684 SBR \u6a21\u578b\u5728\u5e38\u89c1\u6570\u636e\u96c6\u4e0a\u7684\u6548\u679c<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44442\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u53ef\u80fd\u66f4\u52a0\u91cd\u8981\">\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u53ef\u80fd\u66f4\u52a0\u91cd\u8981<\/h2>\n\n\n\n<p>\u8282\u70b9\u548c\u8fb9\u662f\u6784\u6210\u56fe\u7684\u5173\u952e\u5143\u7d20\u3002\u5176\u4e2d\u8282\u70b9\u4ee3\u8868\u4e86\u5176\u5185\u5728\u7684\u5929\u7136\u5c5e\u6027\uff0c\u8fb9\u523b\u753b\u4e86\u56fe\u7684\u62d3\u6251\u7ed3\u6784\u3002\u76ee\u524d\u5e38\u7528\u7684 GNN \u66f4\u591a\u5173\u6ce8\u4e8e\u5bf9\u62d3\u6251\u7ed3\u6784\u7684\u5efa\u6a21\uff0c\u5ffd\u89c6\u4e86\u5bf9\u8282\u70b9\u5c5e\u6027\u7684\u7406\u89e3\u3002\u4f8b\u5982\uff0cGCN\/ GAT\/ GraphSAGE \u7b49\u901a\u7528\u7684 GNN \u6a21\u578b\u901a\u5e38\u4f1a\u5c06\u8282\u70b9\u5229\u7528\u5148\u9a8c\u77e5\u8bc6\u6216\u8005\u9884\u5148\u8bad\u7ec3\u597d\u7684\u7f16\u7801\u5668\u8f6c\u53d8\u4e3a\u8282\u70b9\u8868\u793a\u5411\u91cf\u3002\u8fd9\u4e9b\u521d\u59cb\u7684\u8282\u70b9\u8868\u793a\u5411\u91cf\u5728\u540e\u7eed\u7684 GNN \u805a\u5408\u8fc7\u7a0b\u88ab\u89c6\u4e3a\u9759\u6001\u4e0d\u53ef\u5b66\u4e60\u7684\u53c2\u6570\uff0c\u8fd9\u79cd\u5b66\u4e60\u8303\u5f0f\u4e2d\u7684\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u548c\u62d3\u6251\u7ed3\u6784\u5efa\u6a21\u662f\u76f8\u4e92\u72ec\u7acb\u7684\uff0c\u5e76\u4e0d\u80fd\u8fdb\u884c\u7aef\u5230\u7aef\u7684\u56fe\u8868\u793a\u5b66\u4e60\u3002\u53e6\u5916\uff0c\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u4e00\u822c\u662f\u57fa\u4e8e\u5148\u9a8c\u77e5\u8bc6\u6216\u8005\u9884\u5148\u5f97\u5230\u7684\u7f16\u7801\u5668\uff0c\u65e0\u6cd5\u4fdd\u8bc1\u5176\u5f97\u5230\u7684\u8282\u70b9\u7279\u5f81\u80fd\u591f\u548c\u4e0b\u6e38\u7684\u56fe\u6316\u6398\u4efb\u52a1\u4fdd\u6301\u4e00\u81f4\uff0c\u56e0\u6b64\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u4ece\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u51fa\u53d1\uff0c\u5f00\u8f9f\u4e86\u65b0\u9014\u5f84\u3002<\/p>\n\n\n\n<p>\u4e0d\u540c\u4e8e\u4ee5\u5f80\u7684\u4e8c\u6b65\u5f0f\u5b66\u4e60\u8303\u5f0f\uff0c\u7814\u7a76\u5458\u4eec\u5c1d\u8bd5\u5bf9\u8282\u70b9\u5c5e\u6027\u548c\u62d3\u6251\u7ed3\u6784\u8fdb\u884c\u534f\u540c\u8bad\u7ec3\uff08co-training\uff09\u3002\u4ece\u56fe\u884d\u53d8\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u8282\u70b9\u5c5e\u6027\u6709\u53ef\u80fd\u6bd4\u62d3\u6251\u7ed3\u6784\u66f4\u52a0\u91cd\u8981\u3002\u62d3\u6251\u7ed3\u6784\u4e2d\u7684\u6bcf\u4e00\u6761\u8fb9\u90fd\u6709\u5176\u5b58\u5728\u7684\u539f\u56e0\uff0c\u800c\u8282\u70b9\u4e4b\u95f4\u7684\u5173\u8054\u5173\u7cfb\u662f\u8fb9\u5f62\u6210\u7684\u6839\u672c\u539f\u56e0\u548c\u5185\u5728\u52a8\u529b\u3002\u4f8b\u5982\u5728\u56fe6\u4e2d\uff0c\u5de6\u56fe\u8868\u793a\u4e86\u4e00\u4e2a\u5df2\u7ecf\u5b58\u5728\u7684\u793e\u4ea4\u7f51\u7edc\u548c\u4e00\u4e2a\u65b0\u7528\u6237 Alex\uff0c\u6bcf\u4e2a\u7528\u6237\u90fd\u6709\u793e\u4ea4\u5c5e\u6027\u548c\u504f\u597d\uff0cAlex \u5728\u52a0\u5165\u793e\u4ea4\u7f51\u7edc\u4e4b\u540e\uff0c\u5927\u6982\u7387\u4f1a\u5173\u6ce8\u548c\u81ea\u5df1\u5c5e\u6027\u7c7b\u4f3c\u6216\u8005\u5174\u8da3\u7231\u597d\u76f8\u540c\u7684\u5176\u4ed6\u7528\u6237\uff08\u4f8b\u5982\u540c\u4e8b\u6216\u8005\u540c\u5b66\uff09\u7b49\uff0c\u8fdb\u800c\u5f62\u6210\u4e86\u793e\u4ea4\u7f51\u7edc\u4e0a\u7684\u62d3\u6251\u7ed3\u6784\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"366\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-9-1024x366.png\" alt=\"\u56fe6\uff1a\u793e\u4ea4\u7f51\u7edc\u4e2d\u5173\u6ce8\u5173\u7cfb\u5f62\u6210\u7684\u4e00\u4e2a\u793a\u4f8b\" class=\"wp-image-1071276\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-9-1024x366.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-9-300x107.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-9-768x274.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-9-240x86.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-9.png 1056w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe6\uff1a\u793e\u4ea4\u7f51\u7edc\u4e2d\u5173\u6ce8\u5173\u7cfb\u5f62\u6210\u7684\u4e00\u4e2a\u793a\u4f8b<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44443\"><\/p>\n\n\n\n<p>\u5927\u5bb6\u53ef\u4ee5\u7b80\u5355\u7406\u89e3\u4e3a\uff1a\u62d3\u6251\u7ed3\u6784\u53ef\u80fd\u4f1a\u53d7\u5230\u5176\u4ed6\u5916\u754c\u56e0\u7d20\uff08\u4f8b\u5982\u7528\u6237\u884c\u4e3a\u548c\u504f\u597d\uff09\u7b49\u7684\u5f71\u54cd\u6709\u6240\u504f\u5dee\uff0c\u4f46\u662f\u59cb\u7ec8\u53d7\u8282\u70b9\u5c5e\u6027\u7684\u5f71\u54cd\u548c\u5236\u7ea6\u3002\u62d3\u6251\u7ed3\u6784\u548c\u8282\u70b9\u5c5e\u6027\u4e4b\u95f4\u7684\u5173\u7cfb\u6709\u4e9b\u7c7b\u4f3c\u4e8e\u201c\u5148\u6709\u9e21\u8fd8\u662f\u5148\u6709\u86cb\u201d\u7684\u56f0\u5883\uff08The Chicken-and-egg Conundrum\uff09\u3002\u4ece\u53e6\u5916\u4e00\u4e2a\u89d2\u5ea6\u6765\u770b\uff0c\u5982\u679c\u6ca1\u6709\u62d3\u6251\u7ed3\u6784\u7684\u8bdd\uff0c\u8282\u70b9\u4ee5\u53ca\u5176\u81ea\u8eab\u7684\u5c5e\u6027\u4fe1\u606f\u5176\u5b9e\u8fd8\u662f\u4f1a\u5b58\u5728\uff0c\u4f8b\u5982\u793e\u4ea4\u7f51\u7edc\u4e2d\u67d0\u4e2a\u7528\u6237\u6ca1\u6709\u5173\u6ce8\u4efb\u4f55\u4eba\uff0c\u4ed6\u4f9d\u7136\u662f\u793e\u4ea4\u7f51\u7edc\u4e2d\u7684\u4e00\u4e2a\u5b9e\u4f53\u3002\u4f46\u662f\uff0c\u5982\u679c\u6ca1\u6709\u4e86\u8282\u70b9\uff0c\u62d3\u6251\u7ed3\u6784\u5c31\u4f1a\u6d88\u5931\uff0c\u6b63\u6240\u8c13\u201c\u76ae\u4e4b\u4e0d\u5b58\u6bdb\u5c06\u7109\u9644\u201d\u3002\u56e0\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u8ba4\u4e3a\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u66f4\u52a0\u91cd\u8981\u3002<\/p>\n\n\n\n<p>\u90a3\u4e48\u95ee\u9898\u53c8\u6765\u4e86\uff1a\u5982\u679c\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u662f\u62d3\u6251\u7ed3\u6784\u5efa\u6a21\u7684\u57fa\u7840\u7684\u8bdd\uff0c\u90a3\u4e48\u62d3\u6251\u7ed3\u6784\u662f\u4e0d\u662f\u5c31\u6ca1\u7528\u4e86\u5462\uff1f<\/p>\n\n\n\n<p>\u8fd9\u4e2a\u7b54\u6848\u662f\u5426\u5b9a\u7684\u3002<\/p>\n\n\n\n<p>\u9996\u5148\uff0c\u7531\u4e8e\u8282\u70b9\u5c5e\u6027\u7ecf\u5e38\u4f1a\u4e0d\u5b8c\u6574\u6216\u8005\u9057\u5931\uff0c\u6240\u4ee5\u62d3\u6251\u7ed3\u6784\u53ef\u4ee5\u4ece\u8282\u70b9\u4e4b\u95f4\u7684\u5173\u7cfb\u4e0a\u5bf9\u5176\u8fdb\u884c\u8865\u5145\u3002\u5176\u6b21\uff0c\u62d3\u6251\u7ed3\u6784\u662f\u4ece\u7528\u6237\u884c\u4e3a\u7b49\u5176\u4ed6\u5c42\u6b21\u523b\u753b\u8282\u70b9\u4e4b\u95f4\u7684\u5173\u8054\u5173\u7cfb\uff0c\u8fd9\u79cd\u5173\u8054\u5173\u7cfb\u4f1a\u6709\u81ea\u5df1\u72ec\u7279\u7684\u77e5\u8bc6\uff0c\u5e76\u4e0d\u4e00\u5b9a\u548c\u8282\u70b9\u5c5e\u6027\u76f8\u4f3c\u6027\u5b8c\u5168\u4e00\u81f4\uff0c\u56e0\u6b64\u4e0d\u5982\u201c\u5168\u90fd\u8981\u201d \uff0c\u540c\u65f6\u5bf9\u8282\u70b9\u5c5e\u6027\u548c\u62d3\u6251\u7ed3\u6784\u8054\u5408\u5efa\u6a21\u3002<\/p>\n\n\n\n<p>\u5982\u4f55\u505a\u5230\u8282\u70b9\u548c\u8fb9\u7684\u8054\u5408\u8868\u793a\u5b66\u4e60\uff1f\u7814\u7a76\u5458\u4eec\u7740\u773c\u4e8e\u6587\u672c\u5c5e\u6027\u56fe\uff08Text Attributed Graph, TAG\uff09\u4e0a\u7684\u8868\u793a\u5b66\u4e60\uff0c\u4ee5\u878d\u5408\u4e2d\u5fc3\u4e0e\u90bb\u57df\u6587\u672c\u7279\u5f81\u7684\u56fe\u8282\u70b9\u5411\u91cf\u8868\u793a\u4e3a\u7834\u5c40\u4e4b\u6cd5\u3002\u4e3a\u4e86\u540c\u65f6\u8bad\u7ec3\u8282\u70b9\u5185\u7684\u6587\u672c\u548c\u8282\u70b9\u95f4\u7684\u62d3\u6251\u7ed3\u6784\uff0c\u4e00\u4e2a\u76f4\u63a5\u7684\u65b9\u5f0f\u662f\u5229\u7528\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\uff08LM\uff09\u5bf9\u6587\u672c\u8fdb\u884c\u5efa\u6a21\uff0c\u7136\u540e\u5229\u7528 GNN \u5bf9 LM \u5b66\u4e60\u5f97\u5230\u7684\u8282\u70b9\u8868\u793a\u8fdb\u884c\u57fa\u4e8e\u62d3\u6251\u7ed3\u6784\u7684\u878d\u5408\u3002<\/p>\n\n\n\n<p>\u5982\u56fe7\u5de6\u56fe\u6240\u793a\uff0c\u9488\u5bf9\u4e2d\u5fc3\u8282\u70b9 c \u4ee5\u53ca\u5176\u90bb\u5c45\u8282\u70b9 N1 \u548c N2\uff0c\u5206\u522b\u5229\u7528\u591a\u5c42 Transformer \u67b6\u6784\u5bf9\u5176\u5305\u542b\u7684\u6587\u672c\u4fe1\u606f\u8fdb\u884c\u5efa\u6a21\uff0c\u7136\u540e\u5229\u7528 GNN \u805a\u5408\u751f\u6210\u7684\u8868\u793a\u5411\u91cf\u4f5c\u4e3a\u6700\u7ec8\u4e2d\u5fc3\u8282\u70b9\u7684\u8868\u793a\u3002\u4e0b\u6e38\u7684\u56fe\u5206\u6790\u4efb\u52a1\uff08\u4f8b\u5982\u8282\u70b9\u5206\u7c7b\uff09\u7684\u4f18\u5316\u76ee\u6807\u5f97\u5230\u7684\u68af\u5ea6\u4f1a\u53cd\u4f20\u56de\u6765\u540c\u65f6\u66f4\u65b0 LM \u548c GNN\uff0c\u5f62\u6210\u4e00\u4e2a\u7aef\u5230\u7aef\u7684\u8868\u793a\u6846\u67b6\u3002\u76f8\u5173\u5de5\u4f5c\u5df2\u5165\u9009 SIGIR 2021[7]\u3001EMNLP 2021[8] \u7b49\u4f1a\u8bae\u3002\u540c\u65f6\uff0c\u8be5\u7cfb\u5217\u5de5\u4f5c\u4e5f\u5728\u8d4b\u80fd\u5fae\u8f6f\u5fc5\u5e94\uff08Bing\uff09\u641c\u7d22\u3001\u5fc5\u5e94\uff08Bing\uff09\u5e7f\u544a\u3001Shopping feeds \u7b49\u5fae\u8f6f\u4ea7\u54c1\u4e3a\u5176\u63d0\u8d28\u589e\u6548\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"447\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-10-1024x447.png\" alt=\"\u56fe7\uff1a\u677e\u8026\u5408\u548c\u7d27\u8026\u5408\u7684 LM-GNN Co-training \u8303\u5f0f\" class=\"wp-image-1071279\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-10-1024x447.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-10-300x131.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-10-768x335.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-10-240x105.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-10.png 1123w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe7\uff1a\u677e\u8026\u5408\u548c\u7d27\u8026\u5408\u7684 LM-GNN Co-training \u8303\u5f0f<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44444\"><\/p>\n\n\n\n<p>\u867d\u7136\u6a21\u578b\u80fd\u591f\u5b9e\u73b0\u8054\u5408\u5efa\u6a21\uff0c\u4f46\u62d3\u6251\u7ed3\u6784\u548c\u6587\u672c\u5c5e\u6027\u4ec5\u4ec5\u662f\u901a\u8fc7\u7ea7\u8054\u65b9\u5f0f\u8fdb\u884c\u4e86\u677e\u8026\u5408\u3002\u5bf9\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u8fdb\u800c\u63d0\u51fa\u4e86\u7d27\u8026\u5408\u7684 LM-GNN \u5171\u540c\u8bad\u7ec3\u8303\u5f0f\uff08LM-GNN Co-training\u6a21\u578b\uff09\u3002\u5982\u56fe7\u53f3\u56fe\u6240\u793a\uff0c\u7d27\u8026\u5408\u8303\u5f0f\u91c7\u53d6\u4e86\u5c42\u7ea7\u5316\u7684 LM-GNN \u6574\u5408\u65b9\u5f0f\uff1a\u5728\u6bcf\u4e00\u5c42\u4e2d\uff0c\u6bcf\u4e2a\u8282\u70b9\u5148\u7531\u5404\u81ea\u7684 Transformer Block \u8fdb\u884c\u72ec\u7acb\u7684\u8bed\u4e49\u7f16\u7801\uff0c\u7f16\u7801\u7ed3\u679c\u6c47\u603b\u4e3a\u8be5\u5c42\u7684\u7279\u5f81\u5411\u91cf\uff08\u9ed8\u8ba4\u7531 CLS \u6240\u5173\u8054\u7684 hidden state \u6765\u8868\u5f81\uff09\uff1b\u5404\u8282\u70b9\u7684\u7279\u5f81\u5411\u91cf\u6c47\u96c6\u5230\u8be5\u5c42\u7684 GNN \u6a21\u5757\u8fdb\u884c\u4fe1\u606f\u6574\u5408\uff1b\u4fe1\u606f\u6574\u5408\u7684\u7ed3\u679c\u88ab\u7f16\u7801\u81f3\u5bf9\u5e94\u5404\u4e2a\u8282\u70b9\u7684\u56fe\u589e\u5e7f\uff08graph augmented\uff09\u7279\u5f81\u5411\u91cf\u4e2d\uff0c\u5e76\u5206\u53d1\u81f3\u5404\u4e2a\u8282\u70b9\uff1b\u5404\u8282\u70b9\u4f9d\u7167\u56fe\u589e\u5e7f\u7279\u5f81\u5411\u91cf\u8fdb\u884c\u4e0b\u4e00\u5c42\u7ea7\u7684\u7f16\u7801\u3002<\/p>\n\n\n\n<p>\u76f8\u8f83\u4e8e\u6b64\u524d\u7684\u677e\u8026\u5408\u67b6\u6784\uff0c\u7d27\u8026\u5408\u5728 LM \u7f16\u7801\u9636\u6bb5\u4fbf\u5145\u5206\u53c2\u7167\u4e86\u90bb\u57df\u4fe1\u606f\uff0c\u4ece\u800c\u5927\u5927\u63d0\u5347\u4e86\u5404\u8282\u70b9\u6587\u672c\u8868\u793a\u7684\u8d28\u91cf\u3002\u540c\u65f6\uff0c\u8003\u8651\u5230\u8282\u70b9\u95f4\u7684\u4fe1\u606f\u4ea4\u4e92\u662f\u501f\u7531\u7279\u5f81\u5411\u91cf\u5728\u6781\u5176\u8f7b\u91cf GNN \u6a21\u5757\u4e2d\u8fdb\u884c\uff0c\u6bcf\u5c42\u6574\u4f53\u7684\u8fd0\u7b97\u5f00\u9500\u4e0e\u5355\u7eaf\u5229\u7528 Transformer Block \u8fdb\u884c\u5404\u8282\u70b9\u72ec\u7acb\u7684\u7f16\u7801\u76f8\u5dee\u65e0\u51e0\u3002\u76f8\u5173\u7684\u7814\u7a76\u5de5\u4f5c\u5df2\u5728 NeurIPS 2021[9]\u3001KDD 2022[10] \u7b49\u4f1a\u8bae\u53d1\u8868\u3002<\/p>\n\n\n\n<p>\u867d\u7136\u4e0e\u4e4b\u524d\u7684 GNN \u6a21\u578b\u76f8\u6bd4\uff0cLM-GNN Co-training \u6a21\u578b\u80fd\u591f\u5728\u6587\u672c\u5c5e\u6027\u56fe\u4e0a\u53d6\u5f97\u4f18\u8d8a\u7684\u6548\u679c\uff0c\u4f46\u662f\u8fd9\u79cd\u8bad\u7ec3\u65b9\u6cd5\u5927\u5927\u63d0\u9ad8\u4e86\u8bad\u7ec3\u7684\u96be\u5ea6\u3002\u5982\u56fe7\u6240\u793a\uff0c\u8054\u5408\u8bad\u7ec3\u9700\u8981\u540c\u65f6\u5bf9\u4e2d\u5fc3\u8282\u70b9\u548c k \u4e2a\u90bb\u5c45\u8282\u70b9\u7684\u6587\u672c\u4fe1\u606f\u8fdb\u884c\u5efa\u6a21\uff0c\u76f8\u5f53\u4e8e (1+k) \u6b21 LM \u7684\u524d\u5411\u8ba1\u7b97\u548c\u68af\u5ea6\u7684\u540e\u5411\u4f20\u9012\u3002\u8003\u8651\u5230\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u7684\u53c2\u6570\u91cf\uff0c\u8fd9\u79cd\u8ba1\u7b97\u590d\u6742\u5ea6\u548c\u8d44\u6e90\u6d88\u8017\u96be\u4ee5\u627f\u53d7\u3002\u4e00\u79cd\u7b80\u5355\u7684\u65b9\u5f0f\u662f\u51cf\u5c11\u90bb\u5c45\u8282\u70b9\u7684\u6570\u76ee k\uff0c\u4f46\u662f\u4f1a\u5e26\u6765\u62d3\u6251\u7ed3\u6784\u4fe1\u606f\u7684\u4e22\u5931\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u5728\u4fdd\u8bc1\u6548\u7387\u7684\u524d\u63d0\u4e0b\u8fdb\u884c LM-GNN \u7684\u6709\u6548\u5171\u540c\u8bad\u7ec3\uff0c\u662f\u4e00\u4e2a\u4e9f\u9700\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n<p>\u56e0\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u4ea4\u66ff\u8bad\u7ec3\u7684\u6846\u67b6[11]\u3002\u5982\u56fe8\u6240\u793a\uff0c\u5728 LM \u8bad\u7ec3\u9636\u6bb5\uff0cGNN \u5b66\u4e60\u5230\u7684\u62d3\u6251\u7ed3\u6784\u77e5\u8bc6\u80fd\u591f\u6709\u6548\u5730\u8f6c\u79fb\u5230 LM \u4e2d\uff0c\u4f7f\u5176\u80fd\u591f\u4e86\u89e3\u62d3\u6251\u7ed3\u6784\u548c\u4e0b\u6e38\u4efb\u52a1\u7684\u76f8\u5173\u4fe1\u606f\u3002\u800c\u5728 GNN \u8bad\u7ec3\u9636\u6bb5\uff0c\u4e0a\u4e00\u6b21\u8bad\u7ec3\u5f97\u5230\u7684\u878d\u5408\u62d3\u6251\u7ed3\u6784\u4fe1\u606f\u7684 LM \u80fd\u591f\u4e3a GNN \u63d0\u4f9b\u66f4\u9ad8\u8d28\u91cf\u7684\u521d\u59cb\u8282\u70b9\u7279\u5f81\uff0c\u6709\u52a9\u63d0\u5347\u5176\u6027\u80fd\u3002\u4e0a\u8ff0\u4e24\u4e2a\u9636\u6bb5\u76f8\u4e92\u589e\u5f3a\uff0c\u8fdb\u800c\u53ef\u4ee5\u5f97\u5230\u9ad8\u8d28\u91cf\u7684\u8282\u70b9\u8868\u793a\u5411\u91cf\u3002\u4e0a\u8ff0\u5b66\u4e60\u8303\u5f0f\u7684\u65f6\u95f4\u590d\u6742\u5ea6\u7ea6\u7b49\u4e8e\u5355\u4e2a GNN \u548c\u5355\u4e2a LM \u7684\u8bad\u7ec3\u590d\u6742\u5ea6\u4e4b\u548c\uff0c\u6240\u4ee5\u80fd\u591f\u6709\u6548\u5904\u7406\u5927\u89c4\u6a21\u8282\u70b9\u5c5e\u6027\u56fe\u4e0a\u7684\u8868\u793a\u5b66\u4e60\u3002\u8be5\u7814\u7a76\u5165\u9009\u4e86 ICLR 2023\uff08Notable-top-5%\uff09\uff0c\u5e76\u4e14\u5728 OGBN leaderboard[12] \u4e0a\u767b\u9876\u591a\u4e2a\u6570\u636e\u96c6\u7684\u9996\u4f4d\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"911\" height=\"444\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-11.png\" alt=\"\u56fe8\uff1a\u4ea4\u66ff\u5b66\u4e60\u7684 LM-GNN \u8bad\u7ec3\u8303\u5f0f\" class=\"wp-image-1071282\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-11.png 911w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-11-300x146.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-11-768x374.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-11-240x117.png 240w\" sizes=\"auto, (max-width: 911px) 100vw, 911px\" \/><figcaption class=\"wp-element-caption\">\u56fe8\uff1a\u4ea4\u66ff\u5b66\u4e60\u7684 LM-GNN \u8bad\u7ec3\u8303\u5f0f<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44445\"><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"357\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-12-1024x357.png\" alt=\"\u56fe9\uff1aGLEM \u5728 OGBN leaderboard \u4e0a\u53d6\u5f97\u4e86\u591a\u4e2a\u6570\u636e\u96c6\u7684\u7b2c\u4e00\u540d\" class=\"wp-image-1071285\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-12-1024x357.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-12-300x105.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-12-768x268.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-12-240x84.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-12.png 1429w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe9\uff1aGLEM \u5728 OGBN leaderboard \u4e0a\u53d6\u5f97\u4e86\u591a\u4e2a\u6570\u636e\u96c6\u7684\u7b2c\u4e00\u540d<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44446\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u4e5f\u8bb8\u662f\u56fe\u8868\u793a\u5b66\u4e60\u7684\u672a\u6765\">\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u4e5f\u8bb8\u662f\u56fe\u8868\u793a\u5b66\u4e60\u7684\u672a\u6765<\/h2>\n\n\n\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u7684\u4e00\u7cfb\u5217\u7814\u7a76\u5de5\u4f5c\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u8bc1\u660e\u4e86\u8282\u70b9\u5c5e\u6027\u5efa\u6a21\u6709\u53ef\u80fd\u6bd4\u62d3\u6251\u7ed3\u6784\u5efa\u6a21\u66f4\u91cd\u8981\u3002\u968f\u7740\u6700\u8fd1 ChatGPT \u6240\u5e26\u6765\u7684\u5f3a\u5927\u8ba4\u77e5\u80fd\u529b\u7684\u6d8c\u73b0\uff0c\u4e00\u4e2a\u95ee\u9898\u4e5f\u968f\u4e4b\u800c\u6765\uff1a\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u80fd\u5426\u6210\u4e3a\u5904\u7406\u56fe\u6570\u636e\u7684\u57fa\u7840\u6a21\u578b\uff1f\u7814\u7a76\u5458\u4eec\u4e5f\u5bf9\u8fd9\u4e2a\u95ee\u9898\u8fdb\u884c\u4e86\u521d\u6b65\u7684\u63a2\u7a76\u548c\u5c55\u671b\u3002<\/p>\n\n\n\n<p>\u8fd9\u91cc\u4e3e\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\u3002TUDataset \u662f\u56fe\u5206\u7c7b\u4efb\u52a1\u4e2d\u7ecf\u5e38\u4f7f\u7528\u7684\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u4e00\u4e2a\u4efb\u52a1\u662f\u7ed9\u5b9a\u4e00\u4e2a\u5316\u5408\u7269\uff0c\u6839\u636e\u7ed3\u6784\u7ec4\u6210\u5224\u65ad\u5176\u662f\u82b3\u9999\u65cf\u8fd8\u662f\u6742\u82b3\u65cf\u3002\u4e0d\u540c\u4e8e\u4e3b\u6d41 GNN \u7684\u505a\u6cd5\uff0c\u5982\u56fe10\u6240\u793a\uff0c\u7814\u7a76\u5458\u4eec\u5229\u7528 ChatGPT \u4f5c\u4e3a\u57fa\u51c6\u6a21\u578b\uff0c\u5c06\u5316\u5408\u7269\u8f6c\u5316\u6210 ChatGPT \u80fd\u591f\u7406\u89e3\u7684\u8bed\u8a00\uff0c\u7136\u540e\u8be2\u95ee\u8be5\u8f93\u5165\u7684\u56fe\u662f\u5426\u5c5e\u4e8e\u82b3\u9999\u65cf\u3002\u4ee4\u4eba\u60ca\u8bb6\u7684\u662f\uff0cChatGPT \u7ed9\u51fa\u4e86\u6b63\u786e\u7684\u5224\u65ad\u7ed3\u679c\u548c\u539f\u56e0\u89e3\u91ca\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"698\" height=\"1024\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-13-698x1024.png\" alt=\"\u56fe10\uff1aChatGPT \u80fd\u591f\u6b63\u786e\u5904\u7406\u5316\u5408\u7269\u56fe\u7684\u4e00\u4e2a\u4f8b\u5b50\" class=\"wp-image-1071288\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-13-698x1024.png 698w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-13-204x300.png 204w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-13-768x1127.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-13-123x180.png 123w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/graph-representation-learning-13.png 798w\" sizes=\"auto, (max-width: 698px) 100vw, 698px\" \/><figcaption class=\"wp-element-caption\">\u56fe10\uff1aChatGPT \u80fd\u591f\u6b63\u786e\u5904\u7406\u5316\u5408\u7269\u56fe\u7684\u4e00\u4e2a\u4f8b\u5b50<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44447\"><\/p>\n\n\n\n<p>\u4ece\u8868\u9762\u6765\u770b\uff0c\u56fe\u548c\u8bed\u8a00\u662f\u4e0d\u540c\u7684\u4e24\u79cd\u8868\u793a\u5f62\u6001\uff0c\u5b83\u4eec\u4e24\u8005\u4e4b\u95f4\u4e5f\u8bb8\u4f1a\u6709\u96be\u4ee5\u903e\u8d8a\u7684\u9e3f\u6c9f\u3002\u4f46\u662f\uff0c\u5982\u679c\u4ece\u4eba\u7c7b\u7684\u8ba4\u77e5\u6765\u770b\uff0c\u5f53\u9762\u5bf9\u8fd9\u79cd\u5316\u5b66\u5206\u7c7b\u95ee\u9898\u7684\u65f6\u5019\uff0c\u4eba\u7c7b\u4e5f\u662f\u5c06\u5176\u8f6c\u5316\u6210\u9690\u5f0f\u7684\u8bed\u4e49\u4fe1\u53f7\uff0c\u7136\u540e\u4e0e\u81ea\u5df1\u5b66\u4e60\u5230\u7684\u77e5\u8bc6\u8fdb\u884c\u5bf9\u6bd4\uff0c\u8fdb\u800c\u6700\u7ec8\u5f97\u5230\u5224\u65ad\u7ed3\u679c\u3002\u56e0\u6b64\uff0c\u8bed\u8a00\u6a21\u578b\u5bf9\u56fe\u7684\u5904\u7406\u53ef\u80fd\u66f4\u52a0\u7b26\u5408\u4eba\u7c7b\u7684\u8ba4\u77e5\u4e60\u60ef\u3002<\/p>\n\n\n\n<p>\u73b0\u6709\u7684 GNN \u6a21\u578b\u5728\u5904\u7406\u56fe\u5206\u6790\u4efb\u52a1\u7684\u65f6\u5019\uff0c\u4e00\u822c\u4f1a\u6839\u636e\u5b83\u7684\u6027\u8d28\uff0c\u6bd4\u5982\u78b3\u539f\u5b50\u7684\u7535\u5b50\u6781\u6027\u5c5e\u6027\u7b49\uff0c\u628a\u8282\u70b9\u8f6c\u5316\u6210\u56fa\u5b9a\u7684\u8868\u793a\u5411\u91cf\uff0c\u7136\u540e\u518d\u6839\u636e GNN \u7684\u805a\u5408\u51fd\u6570\u5b66\u4e60\u5230\u56fe\u7684\u8868\u793a\u3002GNN \u7684\u8bad\u7ec3\u4fe1\u53f7\u6765\u6e90\u4e8e\u5c11\u91cf\u7684\u6807\u6ce8\u6570\u636e\u96c6\u3002\u4f46\u662f\uff0c\u76ee\u524d\u8fd9\u79cd\u901a\u7528\u7684\u5b9e\u9a8c\u8bbe\u7f6e\u5929\u7136\u5177\u6709\u4e24\u5927\u7f3a\u9677\uff1a\uff081\uff09\u8282\u70b9\u5c5e\u6027\u7684\u5927\u91cf\u7f3a\u5931\u3002\u4f8b\u5982\uff0c\u78b3\u539f\u5b50\u53ef\u80fd\u9664\u4e86\u7535\u5b50\u6781\u6027\u4e4b\u5916\u8fd8\u6709\u522b\u7684\u7279\u6027\uff0c\u5982\u8d28\u5b50\u6570\u76ee\u548c\u7535\u5b50\u6570\u76ee\u7b49\u3002\u5982\u679c\u5229\u7528\u7b80\u5355\u7684\u7ecf\u9a8c\u77e5\u8bc6\u4ec5\u4ec5\u5c06\u5176\u90e8\u5206\u5c5e\u6027\u8f6c\u5316\u4e3a\u8282\u70b9\u8868\u793a\u5411\u91cf\uff0c\u90a3\u4e48\u5c31\u4f1a\u5ffd\u7565\u6389\u5927\u90e8\u5206\u7684\u8282\u70b9\u5c5e\u6027\u4fe1\u606f\u3002\uff082\uff09\u5c31\u50cf Kate Bowler \u8bf4\u8fc7\u7684\uff0cEverything happens for a reason\u3002\u56fe\u7684\u6784\u5efa\u548c\u8868\u73b0\u51fa\u6765\u7684\u5316\u5b66\u6027\u8d28\u90fd\u662f\u6709\u539f\u56e0\u7684\uff0c\u8fd9\u79cd\u539f\u56e0\u53ef\u80fd\u5df2\u7ecf\u5728\u5316\u5b66\u8bfe\u672c\u6216\u8005\u8d44\u6599\u4e0a\u88ab\u51c6\u786e\u5b9a\u4e49\u4e86\u3002\u800c\u76ee\u524d\u8fd9\u79cd\u5b9e\u9a8c\u8bbe\u7f6e\u629b\u5f03\u4e86\u51c6\u786e\u5b9a\u4e49\u7684\u5148\u9a8c\u77e5\u8bc6\uff0c\u5b8c\u5168\u4f9d\u8d56\u4e8e\u5c11\u91cf\u7684\u6807\u6ce8\u6570\u636e\u4e2d\u7684\u5fae\u5f31\u4fe1\u53f7\u8fdb\u884c\u63a8\u7406\uff0c\u7b49\u4ef7\u4e8e\u81ea\u6211\u629b\u5f03\u4e86\u8c6a\u534e\u7684\u673a\u7532\u5957\u88c5\u800c\u5f3a\u884c\u62ff\u7740\u957f\u77db\u76fe\u724c\u8fdb\u884c\u51fa\u6218\u3002<\/p>\n\n\n\n<p>\u90a3\u4e48\uff0c\u4e3a\u4ec0\u4e48\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u6709\u52a9\u4e8e\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\u5462\uff1f\u5176\u539f\u56e0\u5728\u4e8e\u5904\u7406\u65b9\u5f0f\u66f4\u52a0\u7b26\u5408\u4eba\u7c7b\u8ba4\u77e5\uff0c\u6bd5\u7adf\u8fd4\u749e\u5f52\u771f\u53ef\u80fd\u4f1a\u66f4\u52a0\u8d34\u8fd1\u4e8b\u7269\u7684\u672c\u8d28\u3002\uff081\uff09\u5728 LLM \u91cc\u8f93\u5165\u56fe\u65f6\uff0c\u8282\u70b9\u662f\u88ab\u76f4\u63a5\u8868\u793a\u4e3a\u5176\u539f\u59cb\u6587\u672c\uff0c\u6bd4\u5982\u201c\u78b3\u539f\u5b50\u201d\u548c\u201c\u6c2e\u539f\u5b50\u201d\u3002\u5982\u679c LLM \u8db3\u591f\u5f3a\u5927\uff0c\u90a3\u4e48\u5b83\u7684\u77e5\u8bc6\u91cc\u5df2\u7ecf\u6709\u80fd\u529b\u8bb0\u4f4f\u78b3\u539f\u5b50\u5728\u7ef4\u57fa\u767e\u79d1\u3001\u5316\u5b66\u6559\u6750\u91cc\u63d0\u5230\u7684\u7279\u5f81\uff0c\u8fd9\u6837\u80fd\u591f\u63d0\u4f9b\u66f4\u5168\u9762\u66f4\u5f3a\u5927\u7684\u8282\u70b9\u5c5e\u6027;\uff082\uff09\u5728 LLM 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House: Knowledge graph embedding with householder parameterization[C]\/\/International Conference on Machine Learning. PMLR, 2022: 13209-13224.<br>[2] Savage N. Graph matching in theory and practice[J]. Communications of the ACM, 2016, 59(7): 12-14.<br>[3] Zhang P, Guo J, Li C, et al. Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network[C]\/\/Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. 2023: 168-176.<br>[4] Wu S, Tang Y, Zhu Y, et al. Session-based recommendation with graph neural networks[C]\/\/Proceedings of the AAAI conference on artificial intelligence. 2019, 33(01): 346-353.<br>[5] Pan Z, Cai F, Chen W, et al. Star graph neural networks for session-based recommendation[C]\/\/Proceedings of the 29th ACM international conference on information & knowledge management. 2020: 1195-1204.<br>[6] Xia X, Yin H, Yu J, et al. Self-supervised hypergraph convolutional networks for session-based recommendation[C]\/\/Proceedings of the AAAI conference on artificial intelligence. 2021, 35(5): 4503-4511.<br>[7] Li C, Pang B, Liu Y, et al. Adsgnn: Behavior-graph augmented relevance modeling in sponsored search[C]\/\/Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2021: 223-232.<br>[8] Bi S, Li C, Han X, et al. Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search[C]\/\/Findings of the Association for Computational Linguistics: EMNLP 2021. 2021: 2215-2224.<br>[9] Yang J, Liu Z, Xiao S, et al. GraphFormers: GNN-nested transformers for representation learning on textual graph[J]. Advances in Neural Information Processing Systems, 2021, 34: 28798-28810.<br>[10] Pang B, Li C, Liu Y, et al. Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads[C]\/\/Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 3713-3721.<br>[11] Zhao J, Qu M, Li C, et al. Learning on Large-scale Text-attributed Graphs via Variational Inference[J]. ICLR, 2023.<br>[12] https:\/\/ogb.stanford.edu\/docs\/leader_nodeprop\/<br>[13] https:\/\/chrsmrrs.github.io\/datasets\/docs\/datasets\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f5c\u8005\uff1a\u793e\u4f1a\u8ba1\u7b97\u7ec4 \u56fe\u662f\u4e00\u79cd\u901a\u7528\u7684\u6570\u636e\u8868\u793a\u5f62\u5f0f\uff0c\u6765\u81ea\u4e0d\u540c\u9886\u57df\u7684\u6570\u636e\u5747\u53ef\u4ee5\u8868\u793a\u4e3a\u56fe\uff0c\u4f8b\u5982\u6587\u672c\u6570\u636e\u53ef\u4ee5\u770b\u6210\u662f\u4e00\u7ef4\u56fe\uff0c\u56fe\u50cf\u53ef\u4ee5\u770b\u6210\u662f\u4e8c\u7ef4\u56fe\uff0c\u5206\u5b50\u548c\u86cb\u767d\u8d28\u7b49\u5b9e\u4f53\u4e5f\u53ef\u4ee5\u5929\u7136\u5730\u7684\u7528\u56fe\u8868\u793a\u3002\u901a\u4fd7\u800c\u8a00\uff1a\u4e07\u7269\u7686\u53ef\u56fe\u3002 \u800c\u56fe\u8868\u793a\u5b66\u4e60\uff08Graph Representation 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