{"id":18969,"date":"2020-04-09T17:36:38","date_gmt":"2020-04-09T09:36:38","guid":{"rendered":"https:\/\/swarma.org\/?p=18969"},"modified":"2020-04-09T17:36:38","modified_gmt":"2020-04-09T09:36:38","slug":"deepmind%e5%86%8d%e5%8f%91nature%e8%a7%a3%e5%86%b3%e7%89%a9%e7%90%86%e9%9a%be%e9%a2%98%ef%bc%8c%e5%9b%be%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e5%b1%95%e7%a4%ba%e5%bc%ba%e5%a4%a7%e8%83%bd%e5%8a%9b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=18969","title":{"rendered":"DeepMind\u518d\u53d1Nature\u89e3\u51b3\u7269\u7406\u96be\u9898\uff0c\u56fe\u795e\u7ecf\u7f51\u7edc\u5c55\u793a\u5f3a\u5927\u80fd\u529b"},"content":{"rendered":"
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\u73bb\u7483\u76f8\u53d8\uff08glass transtion\uff09\u662f\u7269\u7406\u5b66\u7814\u7a76\u7684\u91cd\u8981\u547d\u9898\uff0c\u76f8\u53d8\u8fc7\u7a0b\u7684\u672c\u8d28\u5c1a\u672a\u88ab\u5f7b\u5e95\u89e3\u91ca\u3002\u672c\u5468\uff0c\u8457\u540d\u7684 AI \u7814\u7a76\u673a\u6784 DeepMind \u5728 Nature physics \u53d1\u8868\u8bba\u6587\uff0c\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u7ed5\u5f00\u4f20\u7edf\u7684\u52a8\u529b\u5b66\u5b9a\u4e49\uff0c\u4ec5\u4ec5\u7528\u7c92\u5b50\u7684\u521d\u59cb\u72b6\u6001\u5c31\u53ef\u4ee5\u9884\u6d4b\u73bb\u7483\u6001\u7cfb\u7edf\u7684\u957f\u671f\u6f14\u53d8\u3002\u8be5\u6a21\u578b\u5728\u4e0d\u540c\u6e29\u5ea6\u3001\u538b\u5f3a\u548c\u5bc6\u5ea6\u8303\u56f4\u90fd\u6548\u679c\u826f\u597d\uff0c\u5c55\u793a\u4e86\u56fe\u7f51\u7edc\u7684\u5f3a\u5927\u80fd\u529b\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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DeepMind \u4f5c\u4e3a\u300a\u81ea\u7136\u300b\u671f\u520a\u7684\u5927\u6237\uff0c\u6700\u8fd1\u5728\u300a\u81ea\u7136\u00b7\u7269\u7406\u300b\u53d1\u8868\u4e86\u4e00\u7bc7\u8bba\u6587\uff0c\u8bb2\u8ff0\u4e86\u5982\u4f55\u5229\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u7814\u7a76\u73bb\u7483\u6001\u53d8\u5316\u7684\u95ee\u9898\u3002<\/span><\/section>\n

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Unveiling the predictive power of static structure in glassy systems<\/span><\/h1>\n

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https:\/\/www.nature.com\/articles\/s41567-020-0842-8<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
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\u73bb\u7483\uff0c\u662f\u6211\u4eec\u5e38\u89c1\u5374\u975e\u5e38\u964c\u751f\u7684\u4e1c\u897f\u3002\u5c3d\u7ba1\u4eba\u7c7b\u5236\u9020\u73bb\u7483\u5df2\u7ecf\u67092000\u591a\u5e74\u7684\u5386\u53f2\uff0c\u4f46\u5374\u5bf9\u5176\u7269\u7406\u6027\u8d28\u4e86\u89e3\u4e0d\u8db3\u3002<\/span><\/section>\n

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\u5728\u7535\u5b50\u663e\u5fae\u955c\u4e0b\u9762\uff0c\u4e00\u5757\u6211\u4eec\u5e73\u5e38\u770b\u6765\u5149\u6ed1\u7684\u73bb\u7483\uff0c\u5374\u770b\u8d77\u6765\u6742\u4e71\u65e0\u7ae0\u3002\u539f\u56e0\u5728\u4e8e\uff0c\u73bb\u7483\u662f\u4ece\u6db2\u6001\u7ecf\u8fc7\u8fc5\u901f\u51b7\u5374\u540e\u53d8\u6210\u7684\u56fa\u4f53\uff1b\u6211\u4eec\u77e5\u9053\u6db2\u4f53\u7684\u5206\u5b50\u662f\u6742\u4e71\u5206\u5e03\u7684\uff0c\u56e0\u4e3a\u6db2\u6001\u5206\u5b50\u6ca1\u6709\u8db3\u591f\u7684\u65f6\u95f4\u5f62\u6210\u683c\u5b50\u72b6\u7684\u6676\u4f53\uff0c\u4e8e\u662f\u73bb\u7483\u867d\u4e3a\u56fa\u4f53\uff0c\u5374\u4ecd\u51bb\u7ed3\u5728\u6db2\u6001\u7684\u5206\u5b50\u6392\u5e03\u72b6\u6001\u3002<\/span><\/section>\n

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\u7136\u800c\uff0c\u7c92\u5b50\u5982\u4f55\u6839\u636e\u8ddd\u79bb\u76f8\u4e92\u5f71\u54cd\uff0c\u4ee5\u53ca\u8fd9\u79cd\u5f71\u54cd\u5982\u4f55\u968f\u65f6\u95f4\u53d8\u5316\uff0c\u4f9d\u65e7\u662f\u73bb\u7483\u52a8\u529b\u5b66\u4e2d\u4e00\u4e2a\u5c1a\u672a\u89e3\u51b3\u7684\u6838\u5fc3\u95ee\u9898\u3002<\/span><\/section>\n

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\u5728\u524d\u51e0\u5929\u521a\u521a\u53bb\u4e16\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\u83f2\u5229\u666e \u00b7 \u5b89\u5fb7\u68ee\uff08Philip W. Anderson\uff09\u66fe\u6307\u51fa\uff1a<\/span><\/section>\n

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\u56fe1\uff1a\u73bb\u7483\u5206\u5b50\u5728\u6db2\u6001\u548c\u56fa\u6001\u4e4b\u95f4\u7684\u8fd0\u52a8\u53d8\u5316\u8fc7\u7a0b<\/strong><\/span><\/section>\n
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\u800c DeepMind \u53d1\u8868\u7684\u8fd9\u7bc7\u6587\u7ae0\u79f0\u5176\u7814\u7a76\u4e86\u4e00\u6b3e\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\uff08\u672c\u8d28\u4e0a\u662f\u56fe\u795e\u7ecf\u7f51\u7edc\uff09\uff0c\u53ef\u4ee5\u9884\u6d4b\u73bb\u7483\u5206\u5b50\u5728\u6db2\u6001\u548c\u56fa\u6001\u4e4b\u95f4\u7684\u8fd0\u52a8\u53d8\u5316\u8fc7\u7a0b\u3002 <\/span>
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DeepMind \u53d1\u8a00\u4eba\u8868\u793a\uff1a\u201c\u6211\u4eec\u5728\u300c\u73bb\u7483\u52a8\u529b\u5b66\u300d\uff08Glassy Dynamics\uff09\u5efa\u6a21\u8fc7\u7a0b\u4e2d\u6240\u9a8c\u8bc1\u7684\u5fc3\u5f97\u548c\u6280\u672f\uff0c\u53ef\u4ee5\u5e94\u7528\u5230\u5176\u4ed6\u79d1\u5b66\u7684\u6838\u5fc3\u95ee\u9898\u4e2d\uff0c\u4e5f\u80fd\u591f\u5e2e\u52a9\u63ed\u5f00\u5468\u56f4\u4e16\u754c\u65b0\u4e8b\u7269\u7684\u795e\u79d8\u9762\u7eb1\u3002\u201d<\/span><\/section>\n

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1. \u6a21\u62df\u73bb\u7483\u7684\u5b9e\u9645\u610f\u4e49<\/strong><\/span><\/p>\n

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\u73bb\u7483\u76f8\u53d8\uff08glass transition\uff09\u5728\u81ea\u7136\u754c\u662f\u4e00\u79cd\u666e\u904d\u5b58\u5728\u7684\u73b0\u8c61\uff0c\u4e0d\u4ec5\u4ec5\u8868\u73b0\u5728\u7a97\uff08\u7845\uff09\u73bb\u7483\u4e2d\u3002\u5728\u5176\u4ed6\u5730\u65b9\uff0c\u4f8b\u5982\u5728\u71a8\u70eb\u8863\u670d\u65f6\u805a\u5408\u7269\u53d7\u70ed\u540e\uff0c\u5728\u71a8\u6597\u91cd\u529b\u4f5c\u7528\u4e0b\uff0c\u4f1a\u53d1\u751f\u5b9a\u5411\u79fb\u52a8\u3002\u4e00\u4e9b\u80f6\u4f53\u60ac\u6d6e\u6db2\uff08\u5982\u51b0\u6dc7\u6dcb\uff09\uff0c\u9897\u7c92\u72b6\u6750\u6599\uff08\u5982\u6c99\u5806\uff09\uff0c\u751f\u7269\u7cfb\u7edf\uff08\u7ec6\u80de\u8fc1\u79fb\uff09\u548c\u793e\u4f1a\u884c\u4e3a\uff08\u4ea4\u901a\u5835\u585e\uff09\u90fd\u4f1a\u53d1\u751f\u7c7b\u4f3c\u7684\u73bb\u7483\u76f8\u53d8\u73b0\u8c61\u3002<\/span><\/section>\n

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\u8fd9\u672c\u8d28\u4e0a\u5c31\u662f\uff0c\u5728\u5c40\u90e8\u7ea6\u675f\u4e0b\uff0c\u67d0\u4e2a\u5143\u7d20\u6291\u5236\u4e86\u5176\u4ed6\u5143\u7d20\u8fd0\u52a8\u7684\u7cfb\u7edf\u53d8\u5316\u3002\u6211\u4eec\u79f0\u8fd9\u79cd\u53d8\u5316\u4e3a\u5e72\u6270\u76f8\u53d8\uff08jamming transition\uff09\u3002<\/span><\/section>\n

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\u8fd9\u79cd\u53d8\u5316\u6bd4\u8f83\u590d\u6742\uff0c\u4e14\u76f8\u5173\u6027\u8f83\u5927\uff0c\u4ee5\u5f02\u8d28\u7684\u65b9\u5f0f\u5728\u7a7a\u95f4\u4e2d\u8fdb\u884c\u4f20\u64ad\uff0c\u662f\u4e00\u79cd\u5927\u89c4\u6a21\u3001\u96c6\u4f53\u7684\u91cd\u65b0\u6392\u5217\u3002<\/span><\/section>\n

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\u73bb\u7483\u662f\u8fd9\u79cd\u590d\u6742\u7cfb\u7edf\u6700\u5178\u578b\u7684\u4ee3\u8868\uff0c\u56e0\u6b64\u4e5f\u662f\u6700\u597d\u7684\u7814\u7a76\u5bf9\u8c61\u3002<\/span><\/section>\n

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\u4e8b\u5b9e\u4e0a\uff0c\u73bb\u7483\u786e\u5b9e\u8fd8\u6bd4\u8f83\u795e\u79d8\u2014\u2014\u5c3d\u7ba1\u4eba\u7c7b\u5236\u9020\u7845\u73bb\u7483\u5df2\u7ecf\u6709\u51e0\u5343\u5e74\u7684\u5386\u53f2\uff0c\u4f46\u662f\u5bf9\u4e8e\u5176\u80cc\u540e\u7684\u7269\u7406\u8054\u7cfb\u4ecd\u7136\u7422\u78e8\u4e0d\u900f\uff0c\u4f8b\u5982\u51b7\u5374\u8fc7\u7a0b\u4e2d\u4e3a\u4ec0\u4e48\u5e74\u5ea6\u4f1a\u4e0a\u4ebf\u500d\u5730\u589e\u957f\uff0c\u8fd9\u4e2a\u95ee\u9898\u5982\u4eca\u8fd8\u662f\u672a\u77e5\u3002<\/span><\/section>\n

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\u53e6\u4e00\u65b9\u9762\uff0c\u73bb\u7483\u4e5f\u662f\u80fd\u591f\u5f88\u597d\u5c06\u673a\u5668\u5b66\u4e60\u548c\u7269\u7406\u95ee\u9898\u7ed3\u5408\u7684\u4e00\u4e2a\u70b9\uff0c\u56e0\u4e3a\u5b83\u6bd4\u8f83\u5bb9\u6613\u6a21\u62df\uff0c\u4e5f\u6bd4\u8f83\u5bb9\u6613\u8f93\u5165\u5230\u57fa\u4e8e\u6837\u672c\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4e2d\u3002\u800c\u4e14\uff0c\u6700\u4e3a\u5173\u952e\u7684\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u53bb\u5206\u6790\u6a21\u578b\u672c\u8eab\uff0c\u4ece\u800c\u80fd\u591f\u4e86\u89e3\u73bb\u7483\u7684\u672c\u8d28\u3002<\/span><\/section>\n
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2. \u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u5efa\u6a21\u73bb\u7483\u52a8\u529b\u5b66<\/strong><\/span><\/p>\n

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\u4e8e\u662f\u6211\u4eec\u53ef\u4ee5\u628a\u8fd9\u79cd\u7c92\u5b50\u4e4b\u95f4\u7684\u5173\u8054\u6027\u548c\u5c40\u90e8\u6027\uff0c\u5efa\u6a21\u6210\u56fe\u7ed3\u6784\u7684\u7f51\u7edc\uff0c\u7136\u540e\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u6280\u672f\u6765\u9884\u6d4b\u73bb\u7483\u7684\u7269\u7406\u6027\u8d28\u3002<\/span><\/section>\n

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\u5728DeepMind\u7684\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u4ed6\u4eec\u5148\u6839\u636e\u4e09\u7ef4\u8f93\u5165\u521b\u5efa\u4e00\u4e2a\u56fe\uff0c\u5176\u4e2d\u7528\u8282\u70b9\u4ee3\u8868\u7c92\u5b50\uff0c\u7528\u8fb9\u4ee3\u8868\u7c92\u5b50\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u5e76\u7ed9\u5b83\u4eec\u4e4b\u95f4\u7684\u76f8\u5bf9\u8ddd\u79bb\u6253\u4e0a\u6807\u7b7e\u3002<\/span><\/section>\n

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\u7136\u540e\u5c06\u56fe\u4f5c\u4e3a\u8f93\u5165\u6765\u8bad\u7ec3\u56fe\u795e\u7ecf\u7f51\u7edc\u3002\u5982\u4e0b\u56fe\u6240\u793a\uff0c\u5bf9\u6bcf\u4e2a\u8282\u70b9\u8fdb\u884c\u9884\u6d4b\uff0c\u5e76\u4ece\u4e2d\u627e\u5230\u4e00\u4e2a\u5b9e\u503c\u3002      <\/span><\/section>\n

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\u56fe2\uff1a\u6a21\u578b\u6846\u67b6\uff1aa\uff09\u5728\u4e09\u7ef4\u8f93\u5165\u4e2d\uff0c\u5c06\u76f8\u5bf9\u8ddd\u79bb\u5c0f\u4e8e2\u7684\u8282\u70b9\u8fde\u63a5\u8d77\u6765\uff0c\u4ece\u800c\u5f62\u6210\u4e00\u4e2a\u56fe\u5f62\u3002b\uff09\u56fe\u7f51\u7edc\u6839\u636e\u4e4b\u524d\u7684\u5d4c\u5165\u548c\u76f8\u90bb\u8282\u70b9\u7684\u5d4c\u5165\u66f4\u65b0\u8fb9\u7f18\uff0c\u7136\u540e\u6839\u636e\u66f4\u65b0\u4e4b\u540e\u7684\u8fb9\u7f18\u66f4\u65b0\u8282\u70b9\u3002c\uff09\u6574\u4e2a\u56fe\u795e\u7ecf\u7f51\u7edc\u7531\u4e00\u4e2a\u7f16\u7801\u5668\u3001\u4e00\u4e2a\u89e3\u7801\u5668\u3001\u51e0\u4e2a\u6838\u5fc3\u5e94\u7528\u7ec4\u6210\u3002d\uff09\u4ece\u7f16\u7801\u5668\u5230\u66f4\u65b0\u8282\u70b9\u7684\u4e8c\u7ef4\u56fe\u793a\u3002<\/strong><\/section>\n

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\u4ece\u4e0a\u56fe\u53ef\u4ee5\u770b\u51fa\uff0c\u6b64\u7f51\u7edc\u67b6\u6784\u662f\u4e00\u79cd\u5178\u578b\u7684\u56fe\u7f51\u7edc\u67b6\u6784\uff0c\u91cc\u9762\u5305\u542b\u591a\u4e2a\u795e\u7ecf\u7f51\u7edc\u3002\u636eDeepMind\u4ecb\u7ecd\uff0c\u6a21\u578b\u5728\u5177\u4f53\u8fd0\u884c\u8fc7\u7a0b\u4e2d\uff0c\u5148\u4f7f\u7528\u7f16\u7801\u5668\u7f51\u7edc\u5c06\u8282\u70b9\u548c\u8fb9\u7f18\u6807\u7b7e\u5d4c\u5165\u5230\u9ad8\u7ef4\u5411\u91cf\u7a7a\u95f4\u4e2d\uff0c\u7136\u540e\u5bf9\u5d4c\u5165\u8282\u70b9\u548c\u8fb9\u7f18\u6807\u7b7e\u8fdb\u884c\u8fed\u4ee3\u66f4\u65b0\uff1a\u5728\u6240\u6709\u7684\u8fb9\u7f18\u4f7f\u7528\u540c\u4e00\u7f51\u7edc\u5e76\u884c\u66f4\u65b0\u4e4b\u540e\uff0c\u8282\u70b9\u4e5f\u6839\u636e\u5176\u76f8\u90bb\u7684\u8fb9\u7f18\u5d4c\u5165\u548c\u4e4b\u524d\u7684\u5d4c\u5165\u8fdb\u884c\u66f4\u65b0\u3002\u901a\u5e38\u4e0a\u8ff0\u8fc7\u7a0b\u91cd\u590d\u4e03\u6b21\uff0c\u4fbf\u80fd\u591f\u8ba9\u5c40\u90e8\u4fe1\u606f\u5728\u6574\u4e2a\u56fe\u7f51\u7edc\u4e2d\u4f20\u64ad\u3002<\/span><\/section>\n

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DeepMind\u8fd8\u901a\u8fc7\u6784\u5efa\u51e0\u4e2a\u6570\u636e\u96c6\u6765\u9a8c\u8bc1\u4ed6\u4eec\u7684\u6a21\u578b\uff0c\u8fd9\u4e9b\u6570\u636e\u96c6\u5bf9\u5e94\u4e8e\u4e0d\u540c\u6e29\u5ea6\u4e0b\u3001\u4e0d\u540c\u65f6\u95f4\u8303\u56f4\u5185\u7684\u6d41\u52a8\u6027\u9884\u6d4b\u3002\u4ed6\u4eec\u53d1\u73b0\uff0c\u5728\u9009\u62e9\u7684\u65f6\u95f4\u5c3a\u5ea6\u4e0a\uff0c\u7c92\u5b50\u4f1a\u78b0\u649e\u6570\u5343\u6b21\uff0c\u6240\u4ee5\u7f51\u7edc\u5fc5\u987b\u627e\u5230\u4e00\u79cd\u6070\u5f53\u7684\u65b9\u6cd5\u6765\u523b\u753b\u957f\u671f\u7684\u52a8\u6001\u8fc7\u7a0b\u3002<\/span><\/section>\n

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3. \u5c06\u7f51\u7edc\u9884\u6d4b\u4e0e\u7269\u7406\u8054\u7cfb\u8d77\u6765<\/strong><\/span><\/p>\n

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\u8fd9\u4e9b\u53d1\u73b0\u4e0e\u5173\u8054\u957f\u5ea6\u4f1a\u968f\u7740\u4e34\u8fd1\u73bb\u7483\u8f6c\u53d8\u800c\u589e\u52a0\u7684\u7269\u7406\u56fe\u50cf\u4e00\u81f4\uff0c\u5176\u4e2d\u5173\u8054\u957f\u5ea6\u8ba1\u7b97\u7684\u662f\u7c92\u5b50\u76f8\u4e92\u5f71\u54cd\u7684\u8ddd\u79bb\u3002<\/span><\/section>\n

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\u5173\u8054\u957f\u5ea6\u7684\u5b9a\u4e49\u548c\u7814\u7a76\uff0c\u662f\u7269\u7406\u5b66\u4e2d\u76f8\u53d8\u7814\u7a76\u7684\u57fa\u77f3\uff0c\u4e5f\u662f\u7814\u7a76\u73bb\u7483\u65f6\u4f9d\u65e7\u5b58\u5728\u7684\u4e00\u4e2a\u4e89\u8bba\u70b9\u3002\u867d\u7136\u8fd9\u79cd\u201c\u673a\u5668\u5b66\u5230\u7684\u201d\u5173\u8054\u957f\u5ea6\u65e0\u6cd5\u53d1\u76f4\u63a5\u8f6c\u5316\u4e3a\u7269\u7406\u4e0a\u53ef\u8ba1\u7b97\u7684\u91cf\uff0c\u4f46\u662f\u5b83\u63d0\u4f9b\u4e86\u4ee4\u4eba\u4fe1\u670d\u7684\u8bc1\u636e\u6765\u8bc1\u660e\uff1a\u5728\u4e34\u8fd1\u73bb\u7483\u8f6c\u53d8\u8fc7\u7a0b\u4e2d\uff0c\u7cfb\u7edf\u4e2d\u7684\u7a7a\u95f4\u5173\u8054\u4f1a\u4e0d\u65ad\u589e\u52a0\uff0c\u800cDeepmind \u7684\u8fd9\u4e00\u7f51\u7edc\uff0c\u5df2\u7ecf\u5b66\u4f1a\u4e86\u63d0\u53d6\u8fd9\u4e9b\u5173\u8054\u3002<\/span><\/section>\n
 <\/span><\/section>\n

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4. \u7ed3\u8bed<\/strong><\/span><\/p>\n

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\u7ed3\u679c\u8868\u660e\uff0c\u56fe\u795e\u7ecf\u7f51\u7edc\u5229\u7528\u9690\u85cf\u5728\u7c92\u5b50\u5468\u56f4\u7684\u7ed3\u6784\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\u9884\u6d4b\u73bb\u7483\u6001\u7cfb\u7edf\u7684\u957f\u671f\u52a8\u6001\u3002<\/span><\/section>\n

<\/span><\/section>\n
Deepmind \u8868\u793a\uff0c\u5e0c\u671b\u4ed6\u4eec\u7684\u8fd9\u9879\u6280\u672f\u80fd\u591f\u5bf9\u9884\u6d4b\u5176\u4ed6\u6d89\u53ca\u5230\u73bb\u7483\u7684\u7269\u7406\u91cf\u6709\u6240\u5e2e\u52a9\uff0c\u5e76\u671f\u5f85\u5b83\u80fd\u591f\u7ed9\u73bb\u7483\u6001\u7cfb\u7edf\u7406\u8bba\u5b66\u5bb6\u5e26\u6765\u66f4\u591a\u7684\u89c6\u89d2\u3002\u5bf9\u6b64\uff0c\u4ed6\u4eec\u4e5f\u6b63\u5728\u5f00\u6e90\u6a21\u578b\u548c\u7ecf\u8fc7\u8bad\u7ec3\u7684\u7f51\u7edc\u6765\u63a8\u52a8\u8fd9\u4e00\u8fdb\u5c55\u3002<\/span><\/section>\n

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\u4e00\u822c\u800c\u8a00\uff0c\u56fe\u7f51\u7edc\u4f5c\u4e3a\u4e00\u4e2a\u901a\u7528\u7684\u5de5\u5177\uff0c\u6b63\u5728\u88ab\u5e94\u7528\u5230\u8bb8\u591a\u5305\u62ec\u591a\u4f53\u4ea4\u4e92\u5728\u5185\u7684\u5176\u4ed6\u7269\u7406\u7cfb\u7edf\u3001\u5305\u62ec\u4ea4\u901a\u3001\u4eba\u7fa4\u6a21\u62df\u5728\u5185\u7684\u73af\u5883\u4ee5\u53ca\u5b87\u5b99\u5b66\u4e2d\u3002<\/span><\/section>\n

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\u8fd9\u4e9b\u5e94\u7528\u4e2d\u4f7f\u7528\u7684\u7f51\u7edc\u5206\u6790\u65b9\u6cd5\uff0c\u4e5f\u7ed9\u5176\u4ed6\u9886\u57df\u5e26\u6765\u4e86\u66f4\u6df1\u7684\u7406\u89e3\uff1a\u56fe\u7f51\u7edc\u4e0d\u4ec5\u80fd\u591f\u7ed9\u5e2e\u52a9\u7814\u7a76\u8005\u66f4\u597d\u5730\u9884\u6d4b\u8303\u56f4\u5185\u7684\u7cfb\u7edf\uff0c\u8fd8\u80fd\u591f\u8868\u793a\u5bf9\u7cfb\u7edf\u5efa\u6a21\u81f3\u5173\u91cd\u8981\u7684\u7269\u7406\u5173\u8054\u3002\u5728\u8fd9\u4e9b\u5de5\u4f5c\u4e2d\uff0c\u73bb\u7483\u6001\u6750\u6599\u4e2d\u7684\u5c40\u90e8\u7c92\u5b50\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u4e00\u76f4\u90fd\u5728\u968f\u65f6\u95f4\u53d8\u5316\u3002<\/span><\/section>\n

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\u8be5\u5de5\u4f5c\u7684\u4f5c\u8005\u8ba4\u4e3a\uff0c\u4ed6\u4eec\u7684\u8fd9\u4e00\u7ed3\u679c\u4f1a\u4fc3\u8fdb\u7814\u7a76\u8005\u5728\u5c06\u673a\u5668\u5b66\u4e60\u5e94\u7528\u5230\u7269\u7406\u79d1\u5b66\u65f6\uff0c\u91c7\u7528\u7ed3\u6784\u5316\u6a21\u578b\uff0c\u800c\u5728\u4ed6\u4eec\u7684\u793a\u4f8b\u4e2d\uff0c\u6a21\u578b\u62e5\u6709\u5206\u6790\u795e\u7ecf\u7f51\u7edc\u7684\u5185\u90e8\u5de5\u4f5c\u539f\u7406\u7684\u80fd\u529b\uff0c\u4e5f\u4f53\u73b0\u4e86\u6a21\u578b\u80fd\u591f\u627e\u5230\u4e86\u4e00\u4e2a\u4e0e\u96be\u4ee5\u627e\u5230\u7684\u7269\u7406\u91cf\u76f8\u5173\u8054\u7684\u91cf\u3002\u8fd9\u5c31\u8868\u660e\u4e86\uff0c\u673a\u5668\u5b66\u4e60\u4e0d\u4ec5\u53ef\u4ee5\u7528\u6765\u505a\u5b9a\u91cf\u9884\u6d4b\uff0c\u8fd8\u80fd\u591f\u7528\u6765\u5b9a\u6027\u5730\u7406\u89e3\u7269\u7406\u7cfb\u7edf\u3002<\/span><\/section>\n

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\u8fd9\u6216\u8bb8\u610f\u5473\u7740\uff0c\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u53ef\u80fd\u80fd\u591f\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u63a8\u5bfc\u51fa\u57fa\u672c\u7684\u7269\u7406\u7406\u8bba\uff0c\u6700\u7ec8\u5e2e\u52a9\u6269\u5c55\u800c\u975e\u53d6\u4ee3\u4eba\u7c7b\u7684\u7406\u89e3\u3002<\/span><\/section>\n

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\u539f\u6587\u9898\u76ee\uff1a<\/span><\/section>\n
Towards understanding glasses with graph neural networks<\/section>\n
\u539f\u6587\u5730\u5740\uff1a<\/span>
<\/span><\/section>\n
https:\/\/www.deepmind.com\/blog\/article\/Towards-understanding-glasses-with-graph-neural-networks<\/span><\/section>\n<\/section>\n<\/blockquote>\n

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\u4f5c\u8005\uff1aVictor Bapst<\/span><\/section>\n
\u7f16\u8bd1\uff1a\u848b\u5b9d\u5c1a<\/span><\/section>\n
\u7f16\u8f91\uff1a\u4e1b\u672b\u3001\u5f20\u723d<\/span><\/section>\n
\u6765\u6e90\uff1a\u672c\u6587\u8f6c\u8f7d\u81ea\u5fae\u4fe1\u516c\u4f17\u53f7\u201cAI\u79d1\u6280\u8bc4\u8bba\u201d<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u8d44\u6599\u56de\u770b<\/strong><\/span><\/p>\n

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\u672c\u89c6\u9891\u5bf9\u8bba\u6587\u300aHow Powerful are Graph Neural Networks\uff1f<\/span>\u300b\u8fdb\u884c\u4e86\u89e3\u8bfb\uff0c\u5177\u4f53\u5185\u5bb9\u53ef\u4ee5\u89c2\u770b\u4e0b\u9762\u7684\u89c6\u9891\u8d44\u6599\uff1a<\/span><\/section>\n
<\/mp-miniprogram><\/section>\n

http:\/\/campus.swarma.org\/play\/coursedetail?id=10936<\/span><\/strong><\/span>
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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

How Powerful are Graph Neural Networks?<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/arxiv.org\/pdf\/1810.00826<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4e3b\u8bb2\u4eba<\/span><\/strong>\uff1a\u9ad8\u98de<\/span><\/p>\n

\u7b80\u8bc4\uff1a<\/span><\/strong>\u672c\u6587\u9488\u5bf9\u76ee\u524d\u4e94\u82b1\u516b\u95e8\u7684 GNNs \u67b6\u6784\u63d0\u51fa\u4e86\u4e00\u4e2a\u7406\u8bba\u5206\u6790\u6846\u67b6\uff0c\u7528\u4ee5\u5206\u6790 GNN \u5bf9\u56fe\u7ed3\u6784\u6570\u636e\u7684\u8868\u5f81\u80fd\u529b\u3002\u4e00\u4e2a\u91cd\u8981\u7684\u7ed3\u8bba\u662f\uff1a\u57fa\u4e8e\u90bb\u5c45\u805a\u5408\u7684 GNN \u6846\u67b6\u7684\u8868\u5f81\u80fd\u529b\u4e0d\u4f1a\u8d85\u8fc7 Weisfeiler Lehman test\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6587\u4e2d\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u56fe\u7f51\u7edc\u6846\u67b6 GIN\uff0c\u5e76\u8bc1\u660e\u5176\u5177\u6709\u548c WL \u540c\u6837\u7684\u8868\u5f81\u80fd\u529b\u3002<\/span><\/section>\n


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\u8d85\u8d8a\u7b80\u5355\u89c4\u5219\u2014\u2014\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u5bf9\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u81ea\u52a8\u5efa\u6a21<\/strong><\/span><\/a>
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\u56fe\u7f51\u7edc\u5982\u4f55\u52a9\u529b\u57ce\u5e02\u5927\u8111\uff1a\u8de8\u65f6\u7a7a\u5927\u5c3a\u5ea6\u7f51\u7ea6\u8f66\u6d41\u91cf\u9884\u6d4b<\/strong><\/span><\/a>
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\u4ece\u56fe\u5d4c\u5165\u5230\u56fe\u5206\u7c7b\u2014\u2014\u56fe\u7f51\u7edc\u5165\u95e8\u7efc\u8ff0<\/strong><\/span><\/a>
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\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01\u96c6\u667a\u4ff1\u4e50\u90e8\u56e2\u961f\u62db\u65b0\u5566\uff01<\/strong><\/span><\/a>
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\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
<\/span><\/strong><\/p>\n

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\u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


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\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u5b66\u4e60\u66f4\u591a\u56fe\u7f51\u7edc\u5185\u5bb9<\/span><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed \u73bb\u7483\u76f8\u53d8\uff08glass transtion\uff09\u662f\u7269\u7406\u5b66\u7814\u7a76\u7684\u91cd\u8981\u547d\u9898\uff0c\u76f8\u53d8\u8fc7\u7a0b\u7684\u672c\u8d28\u5c1a\u672a\u88ab\u5f7b\u5e95\u89e3\u91ca\u3002\u672c\u5468\uff0c\u8457\u540d\u7684 AI \u7814\u7a76\u673a\u6784 DeepMind \u5728 Nature physics \u53d1\u8868\u8bba\u6587\uff0c\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u7ed5\u5f00\u4f20\u7edf\u7684\u52a8\u529b\u5b66\u5b9a\u4e49\uff0c\u4ec5\u4ec5\u7528\u7c92\u5b50\u7684\u521d\u59cb\u72b6\u6001\u5c31\u53ef\u4ee5\u9884\u6d4b\u73bb\u7483\u6001\u7cfb\u7edf\u7684\u957f\u671f\u6f14\u53d8\u3002\u8be5\u6a21\u578b\u5728\u4e0d\u540c\u6e29…<\/p>\n","protected":false},"author":1,"featured_media":18962,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/18969"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18969"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/18969\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/18962"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18969"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=18969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}