{"id":28989,"date":"2021-09-22T22:32:29","date_gmt":"2021-09-22T14:32:29","guid":{"rendered":"https:\/\/swarma.org\/?p=28989"},"modified":"2021-09-22T22:32:29","modified_gmt":"2021-09-22T14:32:29","slug":"%e4%b8%80%e4%bd%9c%e8%a7%a3%e8%af%bbdeepmind%e6%9c%80%e6%96%b0%e8%ae%ba%e6%96%87%ef%bc%9a%e8%bf%9e%e6%8e%a5%e5%9b%be%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e4%b8%8e%e7%bb%93%e6%9e%84%e5%9b%a0%e6%9e%9c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=28989","title":{"rendered":"\u4e00\u4f5c\u89e3\u8bfbDeepMind\u6700\u65b0\u8bba\u6587\uff1a\u8fde\u63a5\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u4e28\u5468\u4e94\u76f4\u64ad"},"content":{"rendered":"
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<\/strong>\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08SCM\uff09\u662f\u8868\u793a\u56e0\u679c\u5173\u7cfb\u7684\u91cd\u8981\u65b9\u6cd5\u3002<\/span>\u56fe\u795e\u7ecf\u7f51\u7edc\u662f\u5728\u591a\u4e2a\u9886\u57df\u90fd\u53d6\u5f97\u51fa\u8272\u8868\u73b0\u7684\u6df1\u5ea6\u5b66\u4e60\u65b0\u8d35\u3002<\/span>DeepMind9\u670810\u65e5\u63d0\u4ea4\u5728arXiv\u7684\u6700\u65b0\u5de5\u4f5c\u201cRelating Graph Neural Networks to Structural Causal Models\u201d\uff0c\u63d0\u51fa\u4e86\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u53d8\u5206\u56fe\u81ea\u7f16\u7801\u5668\u6765\u89e3\u51b3\u56e0\u679c\u95ee\u9898\uff0c\u5728\u56fe\u795e\u7ecf\u7f51\u7edc\u548c\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u4e4b\u95f4\u5efa\u7acb\u4e86\u65b0\u7684\u8054\u7cfb\uff0c\u662f\u5728\u6df1\u5ea6\u5b66\u4e60\u5728\u56e0\u679c\u63a8\u65ad\u95ee\u9898\u4e0a\u7684\u65b0\u5c1d\u8bd5\u3002<\/span><\/strong><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8\u7279\u522b\u9080\u8bf7\u5230\u8bba\u6587\u7b2c\u4e00\u4f5c\u8005Matej Ze\u010devi\u0107\u8fdb\u884c\u4e00\u573a\u7ebf\u4e0a\u76f4\u64ad\uff0c\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u9879\u5de5\u4f5c\u5e76\u4e0e\u611f\u5174\u8da3\u7684\u56fd\u5185\u5916\u540c\u884c\u4ea4\u6d41\u3002\u76f4\u64ad\u65f6\u95f4\u4e3a9\u670824\u65e5\uff08\u5468\u4e94\uff0921:00-22:00\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u3002\u53c2\u4e0e\u65b9\u5f0f\u4e3azoom\u4f1a\u8bae\u5ba4\u548cB\u7ad9\u3002\u672c\u6b21\u76f4\u64ad\u4ea4\u6d41\u8bed\u8a00\u4e3a\u82f1\u6587\u3002<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Relating Graph Neural Networks to Structural Causal Models<\/span><\/span><\/p>\n

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https:\/\/arxiv.org\/abs\/2109.04173<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u7406\u89e3\u56e0\u679c\u662f\u4eba\u7c7b\u8ba4\u77e5\u7684\u6838\u5fc3\uff0c\u800c\u6df1\u5ea6\u5b66\u4e60\u5728\u51fd\u6570\u62df\u5408\u65b9\u9762\u83b7\u53d6\u4e86\u5de8\u5927\u7684\u6210\u529f\uff0c\u5982\u4f55\u5c06\u56e0\u679c\u5173\u7cfb\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7684\u7406\u8bba\u76f8\u7ed3\u5408\uff0c\u662f\u7406\u89e3\u4eba\u7c7b\u667a\u80fd\u7684\u5173\u952e\u4e4b\u4e00\u3002<\/span><\/p>\n


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\u672c\u6b21\u5206\u4eab\u5c06\u4ee5\u795e\u7ecf-\u56e0\u679c<\/span>\uff08Neuro-Causality\uff09<\/span>\u8fd9\u4e2a\u503c\u5f97\u63a2\u8ba8\u7684\u65b0\u65b9\u5411\u5f00\u59cb\uff0c\u57fa\u4e8e\u4e4b\u524d\u7684\u63a2\u7d22\uff0cXia, Lee, Bengio \u548c Bareinboim\u6700\u8fd1\u5f62\u5f0f\u5316\u4e86\u56e0\u679c\u4e0e\u795e\u7ecf\u7f51\u7edc\u4e4b\u95f4\u7684\u5173\u7cfb<\/span>\uff08e.g. Kocaoglu et al. 2017, Ke et al. 2020\uff09<\/span>\uff0c\u795e\u7ecf-\u56e0\u679c\u6a21\u578b\u6709\u671b\u53ef\u4ee5\u5728\u4e00\u4e9b\u5e7f\u6cdb\u7684\u5e94\u7528\u4e2d\uff0c\u5b9e\u73b0\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u56e0\u679c\u63a8\u7406\u3002<\/span><\/p>\n


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Judea Pearl\u5728\u4ed6\u7684\u5f00\u521b\u6027\u8457\u4f5c\u4e2d\u5bf9\u7eaf\u7cb9\u56e0\u679c\u5173\u7cfb\u8fdb\u884c\u4e86\u5f62\u5f0f\u5316\u7684\u601d\u8003\uff0c\u5e76\u7528\u7ed3\u6784\u56e0\u679c\u6a21\u578b<\/span> (Structural causal model, SCM) <\/span>\u6765\u63cf\u8ff0\u5b83\uff0c\u56e0\u679c\u7ed3\u6784\u6a21\u578b\u53ef\u4ee5\u63cf\u8ff0\u73b0\u5b9e\u4e16\u754c\u4e2d\u4eba\u4eec\u611f\u5174\u8da3\u7684\u53d8\u91cf\u53ca\u5176\u76f8\u4e92\u4f5c\u7528\uff0c\u662f\u4e00\u79cd\u80fd\u591f\u5f62\u5f0f\u5316\u8868\u8ff0\u6570\u636e\u80cc\u540e\u56e0\u679c\u5047\u8bbe\u7684\u65b9\u6cd5\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u611f\u5174\u8da3\u7684\u8fc7\u7a0b\u6765\u8bf4\uff0c\u5e95\u5c42\u7684SCM\u53ea\u662f\u90e8\u5206\u53ef\u89c1\u7684\uff0c\u56e0\u6b64\u56e0\u679c\u63a8\u7406\u8bd5\u56fe\u5229\u7528\u4efb\u4f55\u53ef\u89c2\u6d4b\u7684\u4fe1\u606f\u3002<\/span><\/p>\n


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\u56fe\u795e\u7ecf\u7f51\u7edc<\/span> (Graph neural networks, GNNs) <\/span>\u53ef\u4ee5\u5904\u7406\u56fe\u7c7b\u578b\u6570\u636e\uff0c\u80fd\u591f\u5bf9\u8fde\u8fb9\u548c\u8282\u70b9\u8fdb\u884c\u5efa\u6a21\uff0c\u5728\u836f\u7269\u53d1\u73b0\u548c\u5730\u56fe\u9884\u6d4b\u7b49\u65b9\u9762\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u6548\u679c\uff0c\u4f46GNN\u6a21\u578b\u5728\u8f93\u5165\u7684\u7ed3\u6784\u4e0a\u5b58\u5728\u5f52\u7eb3\u504f\u7f6e\uff0c\u5373\uff0c\u8f93\u5165\u7684\u7ef4\u5ea6\u662f\u76f8\u5173\u7684\uff0c\u8fd9\u6837\u5b83\u4eec\u5c31\u5f62\u6210\u4e86\u4e00\u4e2a\u56fe\u7ed3\u6784\u3002<\/span><\/p>\n


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\u57fa\u4e8e\u8fd9\u4e24\u4e2a\u6a21\u578b\u7684\u6838\u5fc3\u7ed3\u6784\u90fd\u662f\u56fe\u7ed3\u6784\uff0cDeepMind\u56e2\u961fZe\u010devi\u0107, Dhami, Veli\u010dkovi\u0107, \u548c Kersting\u8bbe\u8ba1\u4e86\u4e00\u79cd\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u53d8\u5206\u56fe\u81ea\u7f16\u7801\u5668\uff0c\u7528\u4e8e\u8fd1\u4f3cPearl\u56e0\u679c\u5c42\u6b21\u7ed3\u6784\u4e2d\u7684\u56e0\u679c\u8ba1\u7b97\u95ee\u9898\uff0c\u5efa\u7acb\u4e86\u56fe\u795e\u7ecf\u7f51\u7edc\u548c\u7ed3\u6784\u56e0\u679c\u6a21\u578b\u4e4b\u95f4\u7684\u8f6c\u6362\u673a\u5236\u3002<\/span><\/p>\n


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\u672c\u6b21\u5206\u4eab\u4f5c\u8005\u5c06\u4f1a\u4ece\u7b2c\u4e00\u6027\u539f\u7406\u51fa\u53d1\uff0c\u63a8\u5bfc\u51faGNN\u548cSCM\u4e4b\u95f4\u7684\u7406\u8bba\u8054\u7cfb\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e2a\u5bf9\u4e00\u822c\u795e\u7ecf\u56e0\u679c\u6a21\u578b\u7684\u6269\u5c55\u89c2\u70b9\uff0c\u63d0\u51fa\u4e86Neural Causal Models<\/span> (NCM)<\/span> \u6a21\u578b\uff0c\u901a\u8fc7\u5f62\u5f0f\u5316GNN\u7684\u5e72\u9884\uff0c\u5229\u7528\u53d8\u5206\u56fe\u81ea\u7f16\u7801\u5668\u5efa\u7acb\u4e86\u4e00\u4e2a\u65b0\u7684\u795e\u7ecf\u56e0\u679c\u6a21\u578b\u7c7b\uff0c\u5e76\u7528\u5b9e\u8bc1\u68c0\u9a8c\u4e86\u8be5\u7406\u8bba\u6a21\u578b\u5728\u8bc6\u522b\u548c\u4f30\u8ba1\u4efb\u52a1\u4e2d\u7684\u5b9e\u9645\u56e0\u679c\u63a8\u7406\uff0c\u6700\u540e\u4f5c\u8005\u5c06\u5bf9\u795e\u7ecf-\u56e0\u679c\u7684\u5173\u7cfb\u672a\u6765\u6709\u8da3\u7684\u7814\u7a76\u65b9\u5411\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5c55\u671b\uff0c\u63d0\u51fa\u66f4\u591a\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63a2\u7d22\u7684\u65b9\u5411\u3002<\/span><\/p>\n


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<\/span>Matej Ze\u010devi\u0107<\/span><\/strong>\uff0c\u8fbe\u59c6\u65bd\u5854\u7279\u5de5\u4e1a\u5927\u5b66\uff08Technische Universit\u00e4t Darmstadt\uff09\u8ba1\u7b97\u673a\u79d1\u5b66\u4e13\u4e1a<\/span>\u535a\u58eb\u5019\u9009\u4eba<\/span>\u3002<\/span>\u4ed6\u7684\u7814\u7a76\u5174\u8da3\u662f\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684Disentanglement\u95ee\u9898\u3002<\/span><\/p>\n

\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/matej-zecevic.de\/<\/span><\/p>\n


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\u9646\u8d85\u8d85<\/span><\/strong>\uff0c<\/span><\/span>\u5251\u6865\u5927\u5b66\u673a\u5668\u5b66\u4e60\u7ec4\u535a\u58eb\u751f\uff0c\u4ed6\u7684\u7814\u7a76\u5174\u8da3\u662f\u673a\u5668\u5b66\u4e60\uff0c\u7279\u522b\u662f\u6d89\u53ca\u5230\u5982\u4f55\u7ed3\u5408\u56e0\u679c\u63a8\u7406\u3001\u8d1d\u53f6\u65af\u63a8\u7406\u3001\u5f3a\u5316\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5404\u81ea\u7684\u4f18\u52bf\uff0c\u5e76\u5c06\u5b83\u4eec\u5e94\u7528\u5728\u73b0\u5b9e\u9886\u57df\u4e2d\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff0c\u5982\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u533b\u7597\u7b49\u9886\u57df\u3002<\/span><\/p>\n

\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/causallu.com\/<\/span><\/p>\n


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\u65f6\u95f4\uff1a2021\u5e749\u670824\u65e521:00-22:00(\u5317\u4eacUTC\/GMT+8)<\/span><\/p>\n

\u62a5\u540d\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/mobile\/activity\/4<\/span><\/p>\n

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\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66 CausalAI \u5b9e\u9a8c\u5ba4\u4e3b\u4efb Elias Bareinboim \u5728\u5176 ACM \u9080\u8bf7\u6587\u7ae0\u4e2d\u63d0\u5230\uff1a\u201c\u5982\u679c\u6211\u4eec\u5e0c\u671b\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u662f\u5b89\u5168\u7684\uff0c\u7a33\u5065\u7684\uff0c\u4e0e\u4eba\u7c7b\u517c\u5bb9\u7684\uff0c\u63d0\u5347\u4eba\u7c7b\u793e\u4f1a\u798f\u7949\u7684\uff0c\u90a3\u4e48\u628a\u56e0\u679c\u4e4b\u68af\u548c\u4eba\u7c7b\u7ecf\u9a8c\u8fde\u63a5\u8d77\u6765\u662f\u81f3\u5173\u91cd\u8981\u7684\u6b65\u9aa4\u201d\u3002\u56de\u987e\u4eba\u7c7b\u4ece\u4e9a\u91cc\u58eb\u591a\u5fb7\u5f00\u59cb\u7684 2000 \u591a\u5e74\u7684\u56e0\u679c\u7814\u7a76\u5386\u7a0b\uff0c\u63a2\u6c42\u4e8b\u7269\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u662f\u54f2\u5b66\u3001\u81ea\u7136\u79d1\u5b66\u548c\u793e\u4f1a\u79d1\u5b66\u7b49\u4f17\u591a\u7814\u7a76\u6240\u8ffd\u6c42\u7684\u7ec8\u6781\u76ee\u6807\u3002\u90a3\u4e48\u5982\u4f55\u8ba9 AI \u7cfb\u7edf\u8d85\u8d8a\u66f2\u7ebf\u62df\u5408\uff0c\u6500\u767b\u56e0\u679c\u4e4b\u68af\u601d\u8003\u4e3a\u4ec0\u4e48\uff0c\u5e76\u4f7f\u7528\u56e0\u679c\u5efa\u6a21\u56de\u7b54\u56e0\u679c\u95ee\u9898\uff1f\u662f\u672c\u6b21\u8bfb\u4e66\u4f1a\u5e0c\u671b\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u8fde\u63a5\u7edf\u8ba1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u81ea\u52a8\u63a8\u7406\u7684\u65b0\u5174\u4ea4\u53c9\u9886\u57df\u2014\u2014\u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u518d\u8d77\u822a<\/a><\/span><\/strong><\/span>
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600+\u5b66\u8005\u5171\u6500\u56e0\u679c\u4e4b\u68af\uff0c\u56e0\u679c\u79d1\u5b66\u98ce\u66b4\u518d\u5347\u7ea7\uff01<\/a>
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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u76f4\u64ad<\/span><\/span><\/section>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

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