{"id":48616,"date":"2024-02-28T22:16:45","date_gmt":"2024-02-28T14:16:45","guid":{"rendered":"https:\/\/swarma.org\/?p=48616"},"modified":"2024-02-28T22:16:45","modified_gmt":"2024-02-28T14:16:45","slug":"pnas%e9%80%9f%e9%80%92%ef%bc%9a%e4%bd%bf%e7%94%a8%e4%bd%8e%e7%bb%b4%e8%8a%82%e7%82%b9%e5%b5%8c%e5%85%a5%e7%9a%84%e9%93%be%e8%b7%af%e9%a2%84%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=48616","title":{"rendered":"PNAS\u901f\u9012\uff1a\u4f7f\u7528\u4f4e\u7ef4\u8282\u70b9\u5d4c\u5165\u7684\u94fe\u8def\u9884\u6d4b"},"content":{"rendered":"
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\u8bba\u6587\u9898\u76ee\uff1aLink prediction using low-dimensional node embeddings: The measurement problem<\/span><\/section>\n
\u8bba\u6587\u671f\u520a\uff1aPNAS<\/em>
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\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.pnas.org\/doi\/10.1073\/pnas.2312527121<\/span><\/section>\n
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\u9274\u4e8e\u771f\u5b9e\u7684\u94fe\u8def\u9884\u6d4b\u95ee\u9898\u4e2d\uff0c\u7f51\u7edc\u94fe\u8def\u6570\u636e\u5f80\u5f80\u662f\u7a00\u758f\u7684\uff0c\u6700\u65b0\u53d1\u8868\u4e8ePNAS\u7684\u4e00\u9879\u7814\u7a76\uff0c\u5bbe\u5915\u6cd5\u5c3c\u4e9a\u5927\u5b66\u4e0e\u52a0\u5dde\u5927\u5b66\u7684\u7814\u7a76\u8005\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u9876\u70b9\u7684\u5c40\u90e8\u6027\u80fd\u8861\u91cf\u65b9\u6cd5\uff0c\u5373VCMPR@k\u56fe<\/span>\uff08\u53c2\u6570k\u8868\u793a\u5728\u8bc4\u4f30\u94fe\u63a5\u9884\u6d4b\u6027\u80fd\u65f6\u8003\u8651\u7684\u9876\u90e8\u9884\u6d4b\u94fe\u63a5\u7684\u6570\u91cf\uff09<\/span>\uff0c\u6765\u63ed\u793a\u73b0\u6709\u4f4e\u7ef4\u5d4c\u5165\u65b9\u6cd5\u5728\u94fe\u8def\u9884\u6d4b\u4e0a\u7684\u6027\u80fd\u4e0d\u8db3\u95ee\u9898\u3002\u901a\u8fc7\u5b9a\u4e49\u9876\u70b9\u4e2d\u5fc3\u7684\u5ea6\u91cf\u6807\u51c6\uff0c\u7ed3\u679c\u663e\u793a\uff0c\u5728\u771f\u5b9e\u4e16\u754c\u6570\u636e\u96c6\u4e0a\uff0cAUC\u6307\u6807\u53ef\u80fd\u5bfc\u81f4\u5bf9\u8d28\u91cf\u7684\u9519\u8bef\u7ed3\u8bba\u3002\u8fd9\u4e9b\u5ea6\u91cf\u6807\u51c6\u7528\u4e8e\u6784\u5efaVCMPR\u56fe\uff0c\u5b9a\u91cf\u5730\u5c55\u793a\u4e86\u94fe\u8def\u9884\u6d4b\u7684\u4f4e\u8d28\u91cf\u3002<\/span><\/section>\n

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\u56fe1. \u5728 \u5f00\u6e90\u7684ogbl-collab \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3\u4e86\u591a\u79cd\u8282\u70b9\u5d4c\u5165\u65b9\u6cd5\uff0c\u7528\u4e8e\u8f6c\u5bfc\u94fe\u8def\u9884\u6d4b\uff08\u9884\u6d4b\u56fe\u4e2d\u5df2\u5b58\u5728\u8282\u70b9\u95f4\u672a\u89c2\u5bdf\u5230\u7684\u94fe\u63a5\uff09\u3002\u7ed3\u679c\u663e\u793a\uff0c\u81f3\u5c11 40% \u7684\u9876\u70b9\u7684 VCMPR@20 \u5f97\u5206\u5c0f\u4e8e 0.4\u3002<\/span><\/p>\n


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\u63a2\u7d22\u590d\u6742\u7cfb\u7edf\u9ad8\u9636\u4ea4\u4e92\u7684\u5965\u79d8 | \u9ad8\u9636\u7f51\u7edc\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/a>
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\u200d<\/span>\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/section>\n
1. <\/strong>\u56fe\u8868\u793a\u5b66\u4e60\u3001\u9884\u6d4b\u548c\u8bc4\u4f30 | Nat. Comput. Sci. \u901f\u9012<\/a><\/strong><\/span><\/section>\n
2. <\/strong>\u4ec0\u4e48\u662f\u6982\u7387\u56fe\u6a21\u578b\uff1a\u8868\u793a\u3001\u63a8\u7406\u4e0e\u5b66\u4e60 | \u96c6\u667a\u767e\u79d1<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
3.<\/strong> \u56fe\u8868\u793a\u65b9\u6cd5\u9a71\u52a8\u5927\u5206\u5b50\u8ba1\u7b97\u7814\u7a76 | arXiv\u901f\u9012<\/a><\/a><\/a><\/strong><\/strong><\/strong><\/span><\/section>\n
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4. <\/strong><\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
<\/strong><\/strong>5.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/span><\/strong><\/p>\n

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\u5173\u952e\u8bcd\uff1a\u590d\u6742\u7f51\u7edc\uff0c\u94fe\u8def\u9884\u6d4b\uff0c\u56fe\u8868\u793a\u5b66\u4e60 \u8bba\u6587\u9898\u76ee\uff1aLink prediction using low-dimensional node embeddings: The measurement problem \u8bba\u6587\u671f\u520a\uff1aPNAS \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.pnas.org\/doi\/10.107…<\/p>\n","protected":false},"author":0,"featured_media":48612,"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\/48616"}],"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"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=48616"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/48616\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/48612"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=48616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=48616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=48616"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=48616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}