{"id":16441,"date":"2019-07-15T17:50:56","date_gmt":"2019-07-15T09:50:06","guid":{"rendered":"https:\/\/swarma.org\/?p=16441"},"modified":"2019-07-15T17:50:09","modified_gmt":"2019-07-15T09:50:09","slug":"97cf1ae9fe","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=16441","title":{"rendered":"\u4eca\u665a\u4e5d\u70b9\u56fe\u7f51\u7edc\u8bfb\u4e66\u4f1a\u76f4\u64ad | \u6709\u5411\u65e0\u73af\u56fe\u7684\u7ed3\u6784\u5b66\u4e60"},"content":{"rendered":"<div class=\"bpp-post-content\">\n<p style=\"text-align: center\"><img class=\"rich_pages\" src=\"https:\/\/swarma.org\/wp-content\/uploads\/2019\/07\/swarma2-1563184207.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/p>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<section class=\"mpa-template\">\n<section style=\"margin-top: 20px\">\n<section>\n<section>\n<section>\n<section><strong><span>\u76f4\u64ad\u9884\u544a<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"line-height: 1.75em;margin-left: 8px;margin-right: 8px\"><span style=\"font-size: 15px\">7\u670815\u65e5\uff08\u5468\u4e00\uff0921:00-21:40\uff0c\u96c6\u667a\u56fe\u7f51\u7edc\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\u5c06\u8fdb\u884c\u65b0\u4e00\u671f\u7684\u8bba\u6587\u5206\u4eab\u76f4\u64ad\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e<\/span><span>\u3002<\/span><\/p>\n<p><span><\/span><\/p>\n<section class=\"mpa-template\">\n<section>\n<section>\n<section><strong><\/p>\n<p><span style=\"font-size: 16px\"><strong>\u76f4\u64ad\u4e3b\u9898\uff1a<\/strong><strong><\/strong><\/span><\/p>\n<p><span style=\"font-size: 16px\"><strong>DAG\u7ed3\u6784\u5b66\u4e60\uff1a<\/strong><strong>DAG-NOTEARS \u4e0e DAG-GNN<\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\">\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u6709\u5411\u65e0\u73af\u56fe ( \u5373DAG , directed acyclic map\uff0c\u6bd4\u5982\u8d1d\u53f6\u65af\u7f51\u7edc ) \u7684\u7ed3\u6784\u4f30\u8ba1\u662f\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u95ee\u9898\uff0c\u56e0\u4e3aDAGs\u7684\u641c\u7d22\u7a7a\u95f4\u662f\u7ec4\u5408\u7684\uff0c\u5e76\u4e14\u968f\u7740\u8282\u70b9\u6570\u7684\u589e\u52a0\u5448\u6307\u6570\u7ea7\u589e\u957f\u3002\u73b0\u6709\u7684\u65b9\u6cd5\u4f9d\u8d56\u4e8e\u5404\u79cd\u5c40\u90e8\u542f\u53d1\u5f0f\u6765\u5f3a\u5236\u6267\u884c\u65e0\u73af\u6027\u7ea6\u675f\u30022018\u5e74DAG-NOTEARS\u8bba\u6587\u4e2d\u5f15\u5165\u4e86\u4e00\u4e2a\u5b8c\u5168\u4e0d\u540c\u7684\u7b56\u7565:\u5c06\u7ed3\u6784\u5b66\u4e60\u95ee\u9898\u8868\u793a\u4e3a\u4e00\u4e2a\u5b8c\u5168\u907f\u514d\u8fd9\u79cd\u7ec4\u5408\u7ea6\u675f\u7684\u5b9e\u6570\u77e9\u9635\u4e0a\u7684\u7eaf\u8fde\u7eed\u4f18\u5316\u95ee\u9898\u3002\u8fd9\u662f\u901a\u8fc7\u4e00\u79cd\u65b0\u9896\u7684\u8868\u5f81\u65e0\u73af\u6027\uff0c\u4e0d\u4ec5\u5149\u6ed1\uff0c\u800c\u4e14\u51c6\u786e\u3002\u6240\u5f97\u5230\u7684\u95ee\u9898\u53ef\u4ee5\u7528\u6807\u51c6\u7684\u6570\u503c\u7b97\u6cd5\u6709\u6548\u5730\u89e3\u51b3\uff0c\u8fd9\u4e5f\u4f7f\u5f97\u5b9e\u73b0\u53d8\u5f97\u7b80\u5355\u3002\u63d0\u51fa\u7684\u65b9\u6cd5\u4f18\u4e8e\u73b0\u6709\u7684\u65b9\u6cd5\uff0c\u65e0\u9700\u5bf9\u56fe\u65bd\u52a0\u4efb\u4f55\u7ed3\u6784\u5047\u8bbe\uff0c\u5982\u6709\u754c\u6811\u5bbd\u6216\u5ea6\u3002\u57282019\u5e74DAG-GNN\u7684\u5de5\u4f5c\u4e2d\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u6df1\u5c42\u751f\u6210\u6a21\u578b\uff0c\u5e76\u5e94\u7528\u7ed3\u6784\u7ea6\u675f\u7684\u4e00\u79cd\u53d8\u4f53\u6765\u5b66\u4e60DAG\u3002\u5728\u7efc\u5408\u6570\u636e\u96c6\u4e0a\uff0c\u8be5\u65b9\u6cd5\u5bf9\u975e\u7ebf\u6027\u751f\u6210\u7684\u6837\u672c\u5b66\u4e60\u5230\u66f4\u7cbe\u786e\u7684\u56fe;\u5728\u5177\u6709\u79bb\u6563\u53d8\u91cf\u7684\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\uff0c\u6240\u5f97\u5230\u7684\u56fe\u4e0e\u5168\u5c40\u6700\u4f18\u89e3\u76f8\u5f53\u63a5\u8fd1\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<blockquote class=\"js_blockquote_wrap\">\n<section class=\"js_blockquote_digest\">\n<section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><span style=\"font-size: 15px\">DAGs with NO TEARS: Continuous Optimization for Structure Learning<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><span style=\"font-size: 15px\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">https:\/\/arxiv.org\/abs\/1803.01422<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\">\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\">\u8bba\u6587\u9898\u76ee\uff1a<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\">DAG-GNN: DAG Structure Learning with Graph Neural Networks<\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">https:\/\/arxiv.org\/abs\/1904.10098?context=cs.AI<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\">\n<p><strong><span style=\"font-size: 15px\">\u4e3b\u8bb2\u4eba<\/span><\/strong><span style=\"font-size: 15px\">\uff1a\u725f\u7267\u4e91<\/span><\/p>\n<p><strong><span style=\"font-size: 15px\">\u76f4\u64ad\u5730\u5740<\/span><\/strong><span style=\"font-size: 15px\">\uff1a<span style=\"letter-spacing: 0.544px\">\u96c6\u667a\u4ff1\u4e50\u90e8 B \u7ad9\u76f4\u64ad\u95f4<\/span><\/span><\/p>\n<p><strong><strong>\ud83d\udc40\u5173\u6ce8B\u7ad9\u4e3b\u64ad\u201c\u96c6\u667a\u4ff1\u4e50\u90e8\u201d<\/strong><\/strong><\/p>\n<p><strong><strong>\u4e0d\u9519\u8fc7\u6bcf\u4e00\u573a\u96c6\u667a\u91cd\u78c5\u76f4\u64ad<\/strong><\/strong><\/p>\n<p><strong><strong><\/strong><\/strong><\/p>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px\"><img class=\"rich_pages\" style=\"text-align: center;letter-spacing: 0.544px;width: 261.313px !important\" src=\"https:\/\/swarma.org\/wp-content\/uploads\/2019\/07\/swarma6-1563184208.png\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/p>\n<p><span><strong>\u76f4\u64ad\u5730\u5740\uff1a<\/strong><\/span><\/p>\n<p><span><strong>https:\/\/live.bilibili.com\/8091531<\/strong><\/span><\/p>\n<p><strong>\u76f4\u64ad\u65f6<\/strong><strong>\u95f4 \uff1a21:00-21:40<\/strong><\/p>\n<section class=\"mpa-template\">\n<section class=\"mpa-template\">\n<\/p>\n<section>\n<section>\n<section><strong><\/p>\n<p><span style=\"font-size: 16px\"><strong><strong>\u96c6\u667a\u56fe\u7f51\u7edc\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\u516c\u5f00\u62db\u52df<\/strong><\/strong><\/span><\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<p><strong><\/strong><\/p>\n<p><span style=\"font-size: 15px\">\u56fe\u795e\u7ecf\u7f51\u7edc\u662f\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u524d\u6cbf\u70ed\u70b9\u8bae\u9898\uff0c\u5c24\u5176\u662f\u56fe\u7f51\u7edc\uff08Graph Networks\uff09\u63d0\u51fa\u4ee5\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u6709\u4e86\u5b9e\u73b0\u56e0\u679c\u63a8\u7406\u7684\u6f5c\u529b\u3002\u4e3a\u4e86\u6301\u7eed\u8ffd\u8e2a\u76f8\u5173\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u5e08\u5927\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u5f20\u6c5f\u8bfe\u9898\u7ec4\uff0c\u7ec4\u7ec7\u4e86\u4ee5\u56fe\u7f51\u7edc\u4e3a\u4e3b\u9898\u7684\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\uff0c\u7814\u8ba8\u6700\u65b0\u8bba\u6587\uff0c\u5b55\u80b2\u7814\u7a76\u601d\u8def\u3002<\/span><\/p>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<p><span style=\"font-size: 15px\">\u6bcf\u4e00\u671f\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\u7531\u4e00\u4f4d\u6210\u5458\u4e3b\u8bb2\uff0c\u5f62\u5f0f\u4e3a\u8bba\u6587\u5206\u4eab\uff0c\u65f6\u95f4\u4e3a\u6bcf\u5468\u4e00 21:00-21:40\u3002\u52a0\u5165\u8bfb\u4e66\u4f1a\u7fa4\u9700\u62a5\u540d\u5ba1\u6838\uff0c\u539f\u5219\u4e0a\u53c2\u4e0e\u8005\u5e94\u6709\u80fd\u529b\u72ec\u7acb\u5b8c\u6210\u4e00\u6b21\u7ebf\u4e0a\u5206\u4eab\u3002\u5982\u679c\u4f60\u4e5f\u6b63\u5728\u4ece\u4e8b\u56fe\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u65b9\u9762\u7684\u7814\u7a76\u5de5\u4f5c\u6216\u6280\u672f\u5b9e\u8df5\uff0c\u6216\u8005\u5bf9\u8be5\u9886\u57df\u6709\u5f3a\u70c8\u7684\u5b66\u4e60\u610f\u613f\uff0c\u6b22\u8fce\u586b\u5199\u62a5\u540d\u8868\uff0c\u7533\u8bf7\u52a0\u5165\u201c\u96c6\u667a\u56fe\u7f51\u7edc\u8bba\u6587\u5206\u4eab\u5c0f\u7ec4\u201d\uff01<\/span><\/p>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<p><span style=\"font-size: 15px\">\u62a5\u540d\u8bf7\u70b9\u51fb\u4e0b\u65b9\u5c0f\u7a0b\u5e8f\uff0c\u586b\u5199\u62a5\u540d\u8868\u3002\u586b\u8868\u4e4b\u540e\u4f1a\u6709\u5165\u7fa4\u65b9\u5f0f\u3002<\/span><\/p>\n<p><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px\">\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px\">\n<blockquote class=\"js_blockquote_wrap\">\n<section class=\"js_blockquote_digest\">\n<section><span style=\"font-size: 15px\">\u7f16\u8f91\uff1a\u5f20\u723d<\/span><\/section>\n<\/section>\n<\/blockquote>\n<section>\n<section class=\"mpa-template\">\n<section class=\"mpa-template\">\n<section>\n<section>\n<section><strong><\/p>\n<p>\u5f80\u671f\u8bba\u6587\u89e3\u8bfb<\/p>\n<p><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: circle;margin-left: 8px;margin-right: 8px\">\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;font-size: 16px;text-align: left;line-height: 1.75em\">\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><strong><span>\u7b2c\u5341\u4e94\u671f\u56fe\u7f51\u7edc\u8bba\u6587\u89e3\u8bfb<\/span><\/strong><\/p>\n<\/li>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc\">\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u65f6\u95f4\uff1a6 \u670817\u65e5 \u5468\u4e00<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u4e3b\u8bb2\u4eba\uff1a\u5d14\u6d69\u5ddd<\/span><\/p>\n<\/li>\n<li>\n<p><span>\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p><span>Revisiting Graph Neural Networks: All We Have is Low-Pass Filters<\/span><\/p>\n<\/li>\n<li>\n<p><span>\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p><span>https:\/\/arxiv.org\/abs\/1905.09550<\/span><\/p>\n<\/p>\n<\/li>\n<\/ul>\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><strong><span>\u7b2c\u5341\u516d\u671f\u56fe\u7f51\u7edc\u8bba\u6587\u89e3\u8bfb<\/span><\/strong><\/p>\n<\/li>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc\">\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u65f6\u95f4\uff1a6 \u670824\u65e5 \u5468\u4e00<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u4e3b\u8bb2\u4eba\uff1a\u5f20\u7ae0<\/span><\/p>\n<\/li>\n<li>\n<p><span>\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p><span>Weight Agnostic Neural Networks<\/span><\/p>\n<\/li>\n<li>\n<p><span>\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p><span>https:\/\/arxiv.org\/abs\/1906.04358<\/span><\/p>\n<\/li>\n<\/ul>\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><strong><span>\u7b2c\u5341\u4e03\u671f\u56fe\u7f51\u7edc\u8bba\u6587\u89e3\u8bfb<\/span><\/strong><\/p>\n<\/li>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc\">\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u65f6\u95f4\uff1a7 \u67081\u65e5 \u5468\u4e00<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u4e3b\u8bb2\u4eba\uff1a\u9648\u5b5f\u56ed<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">Graph Matching Networks for Learning the Similarity of Graph Structured Objects<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">https:\/\/arxiv.org\/pdf\/1904.12787.pdf<\/span><\/p>\n<\/li>\n<\/ul>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em\">\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><strong><span>\u7b2c\u5341\u516b\u671f\u56fe\u7f51\u7edc\u8bba\u6587\u89e3\u8bfb<\/span><\/strong><\/p>\n<\/li>\n<ul class=\"list-paddingleft-2\" style=\"list-style-type: disc\">\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u65f6\u95f4\uff1a7 \u67088\u65e5 \u5468\u4e00<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 5px;margin-right: 8px;margin-left: 8px;text-align: left;line-height: 1.75em\"><span>\u4e3b\u8bb2\u4eba\uff1a\u9ad8\u98de<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">How Powerful are Graph Neural Networks?<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">https:\/\/arxiv.org\/pdf\/1810.00826.pdf<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u89e3\u8bfb\u6587\u7ae0\uff1a<\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247498566&amp;idx=1&amp;sn=8a23e3a9fd97f0b22f7f107db58ce295&amp;chksm=e897a1cbdfe028dd95ca00241af3bb11a72ad67ba8fe00c3948fa9ee6d938f221fc1d9f85297&amp;scene=21#wechat_redirect\" target=\"_blank\" style=\"font-size: 15px\">\u65af\u5766\u798fICLR2019\u56fe\u7f51\u7edc\u6700\u65b0\u8bba\u6587\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u8868\u5f81\u80fd\u529b\u6709\u591a\u5f3a\uff1f<\/a><\/p>\n<\/li>\n<li>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\">\u89c6\u9891\u56de\u987e\uff1a<\/span><\/p>\n<\/li>\n<\/ul>\n<\/ul>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em;text-align: center\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\">\n<section class=\"mpa-template\">\n<section class=\"mpa-template\">\n<section class=\"\">\n<section class=\"\">\n<p style=\"clear: both;min-height: 1em\">\n<hr \/>\n<div class=\"post-image\"><img class=\"mpa-template\" width=\"100%\" style=\"letter-spacing: 0.5px;height: auto !important;width: 64px !important\" src=\"https:\/\/swarma.org\/wp-content\/uploads\/2019\/07\/swarma10-1563184208.gif\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/div>\n<p style=\"clear: both;min-height: 1em\">\n<section>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px;text-align: center\">\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;line-height: 25.6px\">\n<section>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em;font-size: 15px\">\n<section>\n<p><strong><span>\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n<p><strong><span>\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org<\/span><\/strong><\/p>\n<section style=\"margin-right: 0.5em;margin-left: 0.5em\">\n<h1 style=\"margin-top: 10px;margin-bottom: 10px;font-weight: 400;font-size: 16px;line-height: 1.75em\"><strong><strong><span><span>\u25c6<\/span><span>\u25c6<\/span><span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n<p><span><strong><span style=\"font-size: 14px\">\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n<p><span><strong><span style=\"font-size: 14px\"><\/span><\/strong><\/span><\/p>\n<p><span><strong><span style=\"font-size: 14px\">\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n<section>\n<div class=\"post-image\"><img class=\"mpa-template\" style=\"height: auto !important;width: 156px !important\" src=\"https:\/\/swarma.org\/wp-content\/uploads\/2019\/07\/swarma3-1563184208.jpg\" alt=\"\u96c6\u667a\" title=\"\u96c6\u667a\" \/><\/div>\n<\/section>\n<p style=\"clear: both;min-height: 1em\"><span style=\"font-size: 14px\">\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<p style=\"margin-right: 8px;margin-left: 8px;line-height: 1.75em\"><span style=\"font-size: 15px\"><\/span><\/p>\n<blockquote class=\"keep-source\">\n<p>\u539f\u6587\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff08\u96c6\u667a\u4ff1\u4e50\u90e8\uff09\uff1a<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?timestamp=1563184206&amp;src=3&amp;ver=1&amp;signature=X9QN1TTE5AVbeOU06YGtFG3LyxiVkUBXscU6Ny88tQgfloXyNO4LvqqQ00bDnft5egJ7A59pI36h9KQ*9FXqzIph2pzTSXQKyVJQNc2skX3Lop-Fsx*ZAK278KndkWDQ74FJxm9hnbuqroBlTYRsNegowDlv8l03k6twsScXkL4=\">\u96c6\u667a<\/a><\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u76f4\u64ad\u9884\u544a 7\u670815\u65e5\uff08\u5468\u4e00\uff0921:00-21:40\uff0c\u96c6\u667a\u56fe\u7f51\u7edc\u7ebf\u4e0a\u8bfb\u4e66\u4f1a\u5c06\u8fdb\u884c\u65b0\u4e00\u671f\u7684\u8bba\u6587\u5206\u4eab\u76f4\u64ad\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e\u3002 \u76f4\u64ad\u4e3b\u9898\uff1a DAG\u7ed3\u6784\u5b66\u4e60\uff1aDAG-NOTEARS \u4e0e DAG-GNN \u6709\u5411\u65e0\u73af\u56fe ( \u5373DAG , directed acyclic map\uff0c\u6bd4\u5982\u8d1d\u53f6\u65af\u7f51\u7edc ) \u7684\u7ed3\u6784\u4f30\u8ba1\u662f&#8230;<\/p>\n","protected":false},"author":1,"featured_media":16444,"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\/16441"}],"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=16441"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/16441\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/16444"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16441"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16441"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16441"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=16441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}