{"id":21230,"date":"2020-10-14T14:30:00","date_gmt":"2020-10-14T06:30:00","guid":{"rendered":"https:\/\/swarma.org\/?p=21230"},"modified":"2020-10-14T14:30:00","modified_gmt":"2020-10-14T06:30:00","slug":"%e5%9f%8e%e5%b8%82%e5%bd%a2%e6%80%81%e5%92%8c%e5%a2%9e%e9%95%bf%e7%9a%84%e5%88%86%e5%bd%a2%e5%bb%ba%e6%a8%a1%e4%b8%8e%e7%a9%ba%e9%97%b4%e5%88%86%e6%9e%90%ef%bc%9a%e4%bb%a5%e6%b7%b1%e5%9c%b3%e5%b8%82","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=21230","title":{"rendered":"\u57ce\u5e02\u5f62\u6001\u548c\u589e\u957f\u7684\u5206\u5f62\u5efa\u6a21\u4e0e\u7a7a\u95f4\u5206\u6790\uff1a\u4ee5\u6df1\u5733\u5e02\u4e3a\u4f8b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\u7bc7"},"content":{"rendered":"
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\u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0arXiv\u9884\u5370\u672c\u8bba\u6587\u3002<\/span>
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\u672c\u6587\u662f\u5bf9\u8fd1\u671f<\/span>arX<\/span>iv<\/span>\u8bba\u6587\u7684<\/span>\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002<\/span><\/section>\n

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    \u57ce\u5e02\u5f62\u6001\u4e0e\u589e\u957f\u7684\u5206\u5f62\u5efa\u6a21<\/strong><\/span><\/p>\n

    \u4e0e\u7a7a\u95f4\u5206\u6790\u2014\u2014\u4ee5\u6df1\u5733\u5e02\u4e3a\u4f8b<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
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    \u539f\u6587\u6807<\/span><\/strong>\u9898\uff1a<\/strong>
    <\/span><\/h2>\n

    Fractal-based modeling and spatial analysis of urban form and growth: a case study of Shenzhen in China<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=95d54400-0d0b-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Xiaoming Man,Yanguang Chen<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u57ce\u5e02\u589e\u957f\u7684\u5206\u5f62\u7ef4\u6570\u66f2\u7ebf\u53ef\u4ee5\u7528 s \u5f62\u51fd\u6570\u6765\u6a21\u62df\uff0c\u5305\u62ec Logistic\u51fd\u6570\u548c\u4e8c\u6b21 Logistic\u51fd\u6570\u3002\u4e0d\u540c\u7c7b\u578b\u7684\u903b\u8f91\u51fd\u6570\u8868\u660e\u4e0d\u540c\u7684\u7a7a\u95f4\u52a8\u6001\u3002\u897f\u65b9\u56fd\u5bb6\u57ce\u5e02\u589e\u957f\u7684\u5206\u5f62\u7ef4\u6570\u66f2\u7ebf\u9075\u5faa Logistic\u51fd\u6570\uff0c\u800c\u4e2d\u56fd\u5317\u65b9\u57ce\u5e02\u7684\u589e\u957f\u66f2\u7ebf\u9075\u5faa\u4e8c\u6b21 Logistic\u51fd\u6570\u3002\u73b0\u5728\u6211\u4eec\u60f3\u77e5\u9053\u662f\u5426\u6240\u6709\u7684\u4e2d\u56fd\u57ce\u5e02\u90fd\u9075\u5faa\u540c\u6837\u7684\u57ce\u5e02\u6f14\u5316\u89c4\u5f8b\u3002\u672c\u6587\u81f4\u529b\u4e8e\u63a2\u7d22\u4e2d\u56fd\u5357\u65b9\u57ce\u5e02\u6df1\u5733\u7684\u5206\u5f62\u548c\u5206\u5f62\u7ef4\u6570\u5c5e\u6027\u3002\u5c06\u57ce\u5e02\u533a\u57df\u5212\u5206\u4e3a4\u4e2a\u5b50\u533a\u57df\uff0c\u91c7\u7528 ArcGIS \u6280\u672f\u3001\u76d2\u5b50\u8ba1\u6570\u6cd5\u63d0\u53d6\u7a7a\u95f4\u6570\u636e\u96c6\uff0c\u5229\u7528\u6700\u5c0f\u4e8c\u4e58\u56de\u5f52\u4f30\u8ba1\u5206\u5f62\u53c2\u6570\u3002\u7ed3\u679c\u8868\u660e: (1)\u6df1\u5733\u5e02\u57ce\u5e02\u5f62\u6001\u5177\u6709\u660e\u663e\u7684\u5206\u5f62\u7ed3\u6784\uff0c\u4f46\u4e0d\u540c\u5206\u533a\u7684\u5206\u5f62\u7ef4\u6570\u503c\u4e0d\u540c; (2)\u6240\u67094\u4e2a\u7814\u7a76\u533a\u7684\u5206\u5f62\u7ef4\u6570\u589e\u957f\u66f2\u7ebf\u90fd\u53ea\u80fd\u7528\u516c\u5171 Logistic\u51fd\u6570\u6a21\u62df\uff0c\u62df\u5408\u4f18\u5ea6\u968f\u65f6\u95f4\u589e\u52a0; (3)\u6df1\u5733\u5e02\u7684\u57ce\u5e02\u589e\u957f\u9ad8\u5cf0\u57281986\u5e74\u4ee5\u524d\u5df2\u7ecf\u8fc7\u53bb\uff0c\u5206\u5f62\u7ef4\u6570\u589e\u957f\u6b63\u5728\u63a5\u8fd1\u5176\u6700\u5927\u5bb9\u91cf\u3002\u7ed3\u679c\u8868\u660e\uff0c\u6df1\u5733\u57ce\u5e02\u5f62\u6001\u5177\u6709\u591a\u91cd\u5206\u5f62\u7684\u7279\u5f81\uff0c\u5206\u5f62\u7ed3\u6784\u7ecf\u8fc720\u591a\u5e74\u7684\u53d1\u5c55\u5df2\u9010\u6e10\u8d8b\u4e8e\u5b8c\u5584\uff0c\u4f46\u5176\u571f\u5730\u8d44\u6e90\u6b63\u5728\u63a5\u8fd1\u589e\u957f\u6781\u9650\u3002\u6df1\u5733\u57ce\u5e02\u589e\u957f\u7684\u5206\u5f62\u7ef4\u6570\u66f2\u7ebf\u4e0e\u6b27\u7f8e\u57ce\u5e02\u76f8\u4f3c\uff0c\u4f46\u4e0e\u4e2d\u56fd\u5317\u65b9\u57ce\u5e02\u4e0d\u540c\u3002\u8fd9\u8868\u660e\u6211\u56fd\u5357\u5317\u57ce\u5e02\u53d1\u5c55\u5b58\u5728\u7740\u5fae\u5999\u7684\u52a8\u529b\u673a\u5236\u5dee\u5f02\u3002<\/span><\/p>\n


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    \u91d1\u878d\u5e94\u7528\u4e2d\u7528\u4e8e\u8054\u90a6\u5b66\u4e60\u7684<\/strong><\/span><\/p>\n

    \u4e0d\u540c\u79c1\u6709\u5b89\u5168\u591a\u65b9\u8ba1\u7b97<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
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    Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=fb75d31c-0d1d-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    David Byrd,Antigoni Polychroniadou<\/span><\/p>\n


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    \u9762\u54115G-V2V \u901a\u4fe1\u7684<\/strong><\/span><\/p>\n

    \u57fa\u4e8e\u591a\u4ee3\u7406\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u7684<\/strong><\/span><\/p>\n

    \u5206\u5e03\u5f0f\u8d44\u6e90\u5206\u914d<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
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    Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=fa13c38a-0d1d-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Alperen G\u00fcndogan,H. Murat G\u00fcrsu,Volker Pauli,Wolfgang Kellerer<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u7814\u7a76\u4e86\u8f66\u5bf9\u8f66(V2V)\u901a\u4fe1\u4e2d\u6ca1\u6709\u57fa\u7ad9\u65f6\u7684\u5206\u5e03\u5f0f\u8d44\u6e90\u9009\u62e9\u95ee\u9898\u3002\u6bcf\u4e2a\u8f66\u8f86\u81ea\u52a8\u4ece\u5171\u4eab\u8d44\u6e90\u6c60\u4e2d\u9009\u62e9\u4f20\u8f93\u8d44\u6e90\uff0c\u4ee5\u4f20\u64ad\u534f\u4f5c\u611f\u77e5\u4fe1\u606f(Cooperative Awareness Messages\uff0cCAMs)\u3002\u8fd9\u662f\u4e00\u4e2a\u5171\u8bc6\u95ee\u9898\uff0c\u6bcf\u4e2a\u8f66\u8f86\u5fc5\u987b\u9009\u62e9\u4e00\u4e2a\u552f\u4e00\u7684\u8d44\u6e90\u3002\u7531\u4e8e\u673a\u52a8\u6027\uff0c\u5f53\u76f8\u90bb\u8f66\u8f86\u7684\u6570\u91cf\u52a8\u6001\u53d8\u5316\u65f6\uff0c\u8fd9\u4e2a\u95ee\u9898\u5c31\u53d8\u5f97\u66f4\u5177\u6311\u6218\u6027\u3002\u5728\u62e5\u6324\u7684\u60c5\u51b5\u4e0b\uff0c\u4e3a\u6bcf\u8f86\u8f66\u5206\u914d\u552f\u4e00\u7684\u8d44\u6e90\u662f\u4e0d\u53ef\u884c\u7684\uff0c\u5fc5\u987b\u5236\u5b9a\u4e00\u4e2a\u62e5\u6324\u7684\u8d44\u6e90\u5206\u914d\u7b56\u7565\u30025G \u4e2d\u7684\u6807\u51c6\u5316\u65b9\u6cd5\u5373\u534a\u6301\u4e45\u8c03\u5ea6(semi-persistent scheduling\uff0cSPS)\u53d7\u5230\u8f66\u8f86\u7a7a\u95f4\u5206\u5e03\u7684\u5f71\u54cd\u3002\u5728\u6211\u4eec\u7684\u65b9\u6cd5\u4e2d\uff0c\u6211\u4eec\u5c06\u5176\u8f6c\u5316\u4e3a\u4e00\u79cd\u4f18\u52bf\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u5206\u5e03\u5f0f\u8d44\u6e90\u5206\u914d\u673a\u5236\uff0c\u8be5\u673a\u5236\u4f7f\u7528\u4e86\u57fa\u4e8e\u552f\u4e00\u72b6\u6001\u8868\u793a\u7684\u591a\u4ee3\u7406\u5f3a\u5316\u5b66\u4e60\u534f\u8bae(DIRAL)\u3002\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u95ee\u9898\u662f\u5982\u4f55\u5904\u7406\u7531\u5e76\u53d1\u5b66\u4e60\u4ee3\u7406\u5f15\u5165\u7684\u975e\u5e73\u7a33\u6027\uff0c\u8fd9\u79cd\u975e\u5e73\u7a33\u6027\u4f1a\u5bfc\u81f4\u591a\u4ee3\u7406\u5b66\u4e60\u7cfb\u7edf\u7684\u6536\u655b\u95ee\u9898\u3002\u6211\u4eec\u7684\u76ee\u6807\u662f\u89e3\u51b3\u975e\u5e73\u7a33\u4e0e\u552f\u4e00\u7684\u72b6\u6001\u8868\u793a\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u5c06\u57fa\u4e8e\u89c6\u56fe\u7684\u4f4d\u7f6e\u5206\u5e03\u4f5c\u4e3a\u72b6\u6001\u8868\u793a\u6765\u5904\u7406\u975e\u5e73\u7a33\u6027\uff0c\u5e76\u4ee5\u5206\u5e03\u5f0f\u65b9\u5f0f\u6267\u884c\u590d\u6742\u7684\u8054\u5408\u884c\u4e3a\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u5728\u5177\u6709\u6311\u6218\u6027\u7684\u62e5\u6324\u60c5\u51b5\u4e0b\uff0cDIRAL \u6bd4 SPS \u63d0\u9ad8\u4e8620% \u7684 PRR\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u591a\u4e3b\u4f53\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684\u56fe\u5377\u79ef\u503c\u5206\u89e3<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=e60ab164-0d1d-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Navid Naderializadeh,Fan H. Hung,Sean Soleyman,Deepak Khosla<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u591a\u667a\u80fd\u4f53\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u4e2d\u503c\u51fd\u6570\u5206\u89e3\u6846\u67b6\u3002\u7279\u522b\u5730\uff0c\u6211\u4eec\u628a\u4ee3\u7406\u56e2\u961f\u770b\u4f5c\u662f\u4e00\u4e2a\u5b8c\u5168\u6709\u5411\u56fe\u7684\u8282\u70b9\u96c6\u5408\uff0c\u5176\u8fb9\u6743\u503c\u7531\u4e00\u4e2a\u6ce8\u610f\u673a\u5236\u63a7\u5236\u3002\u5728\u6b64\u57fa\u7840\u56fe\u7684\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u4e2a\u6df7\u5408 GNN \u6a21\u5757\uff0c\u8be5\u6a21\u5757\u8d1f\u8d23\u4e24\u4e2a\u4efb\u52a1: i)\u5c06\u56e2\u961f\u72b6\u6001-\u884c\u52a8\u503c\u51fd\u6570\u5206\u89e3\u4e3a\u6bcf\u4e2a\u4e2a\u4f53\u7684\u89c2\u5bdf-\u884c\u52a8\u503c\u51fd\u6570\uff0cii)\u6839\u636e\u5168\u5c40\u56e2\u961f\u62a5\u916c\u7684\u5206\u6570\uff0c\u4e3a\u6bcf\u4e2a\u4e2a\u4f53\u5206\u914d\u660e\u786e\u7684\u4fe1\u7528\u5206\u914d\u3002\u6211\u4eec\u7684\u65b9\u6cd5\uff0c\u6211\u4eec\u79f0\u4e4b\u4e3a GraphMIX\uff0c\u9075\u5faa\u96c6\u4e2d\u5f0f\u57f9\u8bad\u548c\u5206\u6563\u5f0f\u6267\u884c\u6a21\u5f0f\uff0c\u4f7f\u4ee3\u7406\u80fd\u591f\u5728\u57f9\u8bad\u5b8c\u6210\u540e\u72ec\u7acb\u5730\u505a\u51fa\u51b3\u7b56\u3002\u661f\u9645\u4e89\u9738 II \u591a\u667a\u80fd\u4f53\u6311\u6218(SMAC)\u73af\u5883\u7684\u5b9e\u9a8c\u7ed3\u679c\u8bc1\u660e\u4e86\u6211\u4eec\u63d0\u51fa\u7684\u65b9\u6cd5\u76f8\u5bf9\u4e8e\u73b0\u6709\u6280\u672f\u7684\u4f18\u8d8a\u6027\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5229\u7528\u5c40\u90e8\u56e0\u679c\u72b6\u6001\u7684<\/strong><\/span><\/p>\n

    \u65f6\u7a7a\u81ea\u52a8\u7f16\u7801\u5668<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Spacetime Autoencoders Using Local Causal States<\/span><\/h2>\n

    \u5730\u5740<\/span><\/strong>\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=9696529e-0d15-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Adam Rupe,James P. Crutchfield<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5c40\u90e8\u56e0\u679c\u72b6\u6001\u662f\u590d\u6742\u65f6\u7a7a\u7cfb\u7edf\u4e2d\u6355\u83b7\u6709\u7ec4\u7ec7\u6a21\u5f0f\u548c\u7ed3\u6784\u7684\u6f5c\u5728\u8868\u5f81\u3002\u6211\u4eec\u6269\u5c55\u4e86\u5b83\u4eec\u7684\u529f\u80fd\uff0c\u628a\u5b83\u4eec\u5b9a\u4e49\u4e3a\u65f6\u7a7a\u81ea\u52a8\u7f16\u7801\u5668\u3002\u5728\u6b64\u4e4b\u524d\uff0c\u5b83\u4eec\u53ea\u88ab\u8ba4\u4e3a\u662f\u4ece\u53ef\u89c2\u6d4b\u7684\u65f6\u7a7a\u573a\u5230\u6f5c\u5728\u7684\u5c40\u90e8\u56e0\u679c\u72b6\u6001\u573a\u7684\u6620\u5c04\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u4e00\u4e2a\u968f\u673a\u89e3\u7801\uff0c\u6620\u5c04\u56de\u4ece\u6f5c\u5728\u7684\u9886\u57df\u5230\u89c2\u5bdf\u7684\u9886\u57df\u3002\u6b64\u5916\uff0c\u5b83\u4eec\u7684\u9a6c\u5c14\u53ef\u592b\u6027\u8d28\u5b9a\u4e49\u4e86\u6f5c\u5728\u7a7a\u95f4\u4e2d\u7684\u968f\u673a\u52a8\u529b\u5b66\u3002\u7ed3\u5408\u968f\u673a\u8bd1\u7801\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u65f6\u7a7a\u57df\u9884\u6d4b\u65b9\u6cd5\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u590d\u6742\u73af\u5883\u4e2d\u7684\u62d3\u6251\u6d3b\u6027\u7269\u8d28<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Topological Active Matter in Complex Environments<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=b29c069e-0d12-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Parisa Rahmani,Fernando Peruani,Pawel Romanczuk<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981<\/span><\/strong>\uff1a<\/strong>\u5177\u6709\u5ea6\u91cf\u548c\u62d3\u6251\u76f8\u4e92\u4f5c\u7528\u7684\u805a\u96c6\u6a21\u578b\u88ab\u8ba4\u4e3a\u5177\u6709\u975e\u5e38\u660e\u663e\u7684\u7279\u5f81\uff0c\u4f8b\u5982\uff0c\u79fb\u52a8\u6781\u5e26\u7684\u5b58\u5728\u548c\u4e0d\u5b58\u5728\u3002\u5229\u7528 Voronoi \u548c k- \u8fd1\u90bb\u76f8\u4e92\u4f5c\u7528\u89c4\u5219\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u62d3\u6251\u6a21\u578b\u5728\u590d\u6742\u73af\u5883\u4e0b\u6062\u590d\u4e86\u5747\u5300\u4ecb\u8d28\u4e2d\u5ea6\u91cf\u6a21\u578b\u7684\u82e5\u5e72\u7279\u5f81\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u53d1\u73b0\uff0c\u5373\u4f7f\u5728\u7a7a\u95f4\u975e\u5747\u5300\u6027\u5b58\u5728\u4e0b\uff0c\u6709\u5e8f\u4e5f\u662f\u957f\u7a0b\u7684\uff0c\u800c\u4e14\u73af\u5883\u8bf1\u5bfc\u4e86\u6709\u6548\u7684\u5bc6\u5ea6-\u6709\u5e8f\u8026\u5408\uff0c\u5141\u8bb8\u5f62\u6210\u884c\u8fdb\u5e26\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7ec6\u80de\u901a\u4fe1\u4e2d\u4fe1\u606f\u4f20\u8f93\u7684\u6548\u80fd<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898<\/span><\/strong>\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Efficacy of information transmission in cellular communication<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=a1c8c14a-0d12-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Sumantra Sarkar,Sandeep Choubey<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u7ec6\u80de\u95f4\u548c\u7ec6\u80de\u5185\u7684\u4fe1\u53f7\u4f20\u5bfc\u5bf9\u4e8e\u4e2a\u4f53\u7ec6\u80de\u6267\u884c\u5404\u79cd\u751f\u7406\u4efb\u52a1\u548c\u51c6\u786e\u54cd\u5e94\u73af\u5883\u53d8\u5316\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u4fe1\u53f7\u901a\u8fc7\u53ef\u6269\u6563\u7684\u5206\u5b50\u8fdb\u884c\u4f20\u9012\uff0c\u5176\u4f20\u9012\u901a\u5e38\u501f\u52a9\u4e8e\u63d0\u4f9b\u5b9a\u5411\u5e73\u6d41\u7684\u6d3b\u52a8\u8fc7\u7a0b\u3002\u5728\u7ec6\u80de\u4fe1\u53f7\u4f20\u9012\u8fc7\u7a0b\u4e2d\uff0c\u6269\u6563\u548c\u5e73\u6d41\u5982\u4f55\u5171\u540c\u5f71\u54cd\u4fe1\u606f\u4f20\u9012\u7684\u51c6\u786e\u6027\uff0c\u76ee\u524d\u8fd8\u6ca1\u6709\u8fdb\u4e00\u6b65\u7684\u7814\u7a76\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u7ec6\u80de\u4fe1\u53f7\u7684\u4e00\u7ef4\u6a21\u578b\uff0c\u5e76\u8ba1\u7b97\u4e92\u4fe1\u606f(MI)\u4f5c\u4e3a\u4fe1\u606f\u4f20\u9012\u7684\u5ea6\u91cf\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u53ea\u6709\u5f53\u7cfb\u7edf\u53c2\u6570\u5927\u4e8e1\u65f6\uff0c\u4fe1\u606f\u4f20\u9012\u6548\u7387\u624d\u968f\u7740\u5e73\u6d41\u7684\u589e\u52a0\u800c\u63d0\u9ad8\u3002\u6709\u8da3\u7684\u662f\uff0cMI \u5c55\u793a\u4e86\u4f69\u514b\u83b1\u7279\u6570\u7684\u91cd\u8981\u62e5\u6709\u5c5e\u6027\u3002\u6211\u4eec\u8bc1\u660e\u4e86\u89c2\u5bdf\u5230\u7684 MI \u4f9d\u8d56\u4e8e\u4fe1\u53f7\u5206\u5b50\u7684\u4f20\u8f93\u7279\u6027\u5bf9\u7ec6\u80de\u901a\u8baf\u6709\u91cd\u8981\u7684\u5f71\u54cd\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7cfb\u8c31\u56fe\u4e2d\u7684\u5e42\u5f8b\u52a8\u529b\u5b66<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Power law dynamics in genealogical graphs<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=c7e2c004-0d0f-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Francisco Leonardo Bezerra Martins,Jos\u00e9 Cl\u00e1udio do Nascimento<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u8fdb\u5316\u7b97\u6cd5\u4e2d\u5b9e\u73b0\u65f6\uff0c\u4e00\u4e9b\u901a\u7528\u7f51\u7edc\u63d0\u4f9b\u4e86\u590d\u6742\u7684\u62d3\u6251\u7ed3\u6784\u3002\u8fd9\u4e9b\u62d3\u6251\u7684\u4e00\u4e2a\u5171\u540c\u7279\u5f81\u662f\u51fa\u73b0\u4e86\u5e42\u5b9a\u5f8b\u3002\u5728\u7cfb\u8c31\u7f51\u7edc\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u6d4b\u91cf\u4e2a\u4f53\u5bf9\u79cd\u7fa4\u7684\u5f71\u54cd\u6765\u89c2\u5bdf\u5e42\u5f8b\uff0c\u8fd9\u53ef\u4ee5\u901a\u8fc7\u4e8b\u4ef6\u63a5\u7ba1\u4ef7\u503c(ETV)\u7b97\u6cd5\u6765\u8ba1\u7b97\u3002\u672c\u6587\u8bc1\u660e\u4e86\u7cfb\u8c31\u56fe\u7684 ETV \u5206\u5e03\u5bfc\u81f4\u7684\u4e0d\u540c\u5e42\u5f8b\u504f\u5dee\u662f\u52a8\u6001\u6f14\u5316\u7684\u9759\u6001\u56fe\u50cf\uff0c\u53ef\u4ee5\u7528 q \u6307\u6570\u5206\u5e03\u5f88\u597d\u5730\u63cf\u8ff0\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56e0\u5b50\u5206\u89e3\u56fe\u5377\u79ef\u7f51\u7edc<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898<\/span><\/strong>\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Factorizable Graph Convolutional Networks<\/span><\/h2>\n

    \u5730\u5740<\/span><\/strong>\uff1a<\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=7035e838-0d0d-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c<\/span><\/strong>\u8005\uff1a<\/strong><\/span><\/p>\n

    Yiding Yang,Zunlei Feng,Mingli Song,Xinchao Wang<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u56fe\u88ab\u5e7f\u6cdb\u7528\u6765\u8868\u793a\u5b9e\u4f53\u4e4b\u95f4\u7684\u7ed3\u6784\u8054\u7cfb\u3002\u8fd9\u4e9b\u5173\u7cfb\u5728\u8bb8\u591a\u60c5\u51b5\u4e0b\u662f\u5f02\u8d28\u7684\uff0c\u4f46\u662f\u7ea0\u7f20\u5728\u4e00\u8d77\uff0c\u5e76\u4e14\u4ec5\u4ec5\u8868\u793a\u4e3a\u4e00\u5bf9\u8282\u70b9\u4e4b\u95f4\u7684\u4e00\u6761\u8fb9\u3002\u4f8b\u5982\uff0c\u5728\u4e00\u4e2a\u793e\u4ea4\u7f51\u7edc\u56fe\u4e2d\uff0c\u5904\u4e8e\u4e0d\u540c\u6f5c\u5728\u5173\u7cfb\u4e2d\u7684\u7528\u6237\uff0c\u5982\u670b\u53cb\u548c\u540c\u4e8b\uff0c\u901a\u5e38\u901a\u8fc7\u4e00\u4e2a\u9690\u85cf\u4e86\u8fd9\u79cd\u5185\u5728\u8054\u7cfb\u7684\u88f8\u9732\u8fb9\u7f18\u8fde\u63a5\u8d77\u6765\u3002\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u56fe\u5377\u79ef\u7f51\u7edc(GCN) \uff0c\u79f0\u4e3a\u53ef\u5206\u89e3\u56fe\u5377\u79ef\u7f51\u7edc(FactorGCN)\u3002FactorGCN \u4ee5\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u4f5c\u4e3a\u8f93\u5165\uff0c\u5e76\u5c06\u5176\u5206\u89e3\u6210\u82e5\u5e72\u4e2a\u5206\u89e3\u56fe\uff0c\u6bcf\u4e2a\u5206\u89e3\u56fe\u8868\u793a\u8282\u70b9\u4e4b\u95f4\u7684\u6f5c\u5728\u548c\u5206\u89e3\u5173\u7cfb\u3002\u7136\u540e\u5c06\u8282\u70b9\u7684\u7279\u5f81\u5206\u522b\u805a\u5408\u5728\u6bcf\u4e2a\u5206\u89e3\u7684\u6f5c\u5728\u7a7a\u95f4\u4e2d\uff0c\u4ea7\u751f\u5206\u79bb\u7684\u7279\u5f81\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u63d0\u9ad8\u4e0b\u6e38\u4efb\u52a1\u7684\u6027\u80fd\u3002\u6211\u4eec\u4ece\u5b9a\u6027\u548c\u5b9a\u91cf\u4e24\u4e2a\u65b9\u9762\u5bf9\u6240\u63d0\u51fa\u7684 FactorGCN \u8fdb\u884c\u4e86\u8bc4\u4f30\uff0c\u7ed3\u679c\u8868\u660e\uff0c\u5b83\u5728\u5206\u79bb\u548c\u7279\u5f81\u805a\u5408\u4e24\u65b9\u9762\u90fd\u53d6\u5f97\u4e86\u4ee4\u4eba\u9f13\u821e\u7684\u4ee3\u7801\u53ef\u4ee5\u5728 https:\/\/github.com\/ihollywhy\/factorgcn.pytorch \u516c\u5f00\u83b7\u53d6\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56fe\u5f62\u795e\u7ecf\u7f51\u7edc\u5b9e\u7528\u6307\u5357<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    A Practical Guide to Graph Neural Networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=63360078-0d0d-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Isaac Ronald Ward,Jack Joyner,Casey Lickfold,Stash Rowe,Yulan Guo,Mohammed Bennamoun<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u56fe\u5f62\u795e\u7ecf\u7f51\u7edc(gnn)\u6700\u8fd1\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\u8d8a\u6765\u8d8a\u53d7\u6b22\u8fce\uff0c\u56e0\u4e3a\u5b83\u4eec\u5177\u6709\u72ec\u7279\u7684\u80fd\u529b\uff0c\u53ef\u4ee5\u6444\u53d6\u76f8\u5bf9\u975e\u7ed3\u6784\u5316\u6570\u636e\u7c7b\u578b\u4f5c\u4e3a\u8f93\u5165\u6570\u636e\u3002\u5c3d\u7ba1 GNN \u4f53\u7cfb\u7ed3\u6784\u7684\u67d0\u4e9b\u5143\u7d20\u5728\u64cd\u4f5c\u4e0a\u4e0e\u4f20\u7edf\u795e\u7ecf\u7f51\u7edc(\u548c\u795e\u7ecf\u7f51\u7edc\u53d8\u4f53)\u5728\u6982\u5ff5\u4e0a\u76f8\u4f3c\uff0c\u4f46\u5176\u4ed6\u5143\u7d20\u4ee3\u8868\u4e86\u5bf9\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u80cc\u79bb\u3002\u672c\u6559\u7a0b\u901a\u8fc7\u6574\u7406\u548c\u5c55\u793a\u6700\u5e38\u89c1\u7c7b\u578b\u7684 gnn \u7684\u52a8\u673a\u3001\u6982\u5ff5\u3001\u6570\u5b66\u548c\u5e94\u7528\u7684\u7ec6\u8282\uff0c\u5411\u4e00\u822c\u7684\u6df1\u5ea6\u5b66\u4e60\u7231\u597d\u8005\u5c55\u793a gnn \u7684\u529b\u91cf\u548c\u65b0\u9896\u6027\u3002\u91cd\u8981\u7684\u662f\uff0c\u6211\u4eec\u7b80\u660e\u5730\u4ecb\u7ecd\u4e86\u8fd9\u4e2a\u6559\u7a0b\uff0c\u5e76\u63d0\u4f9b\u4e86\u5de5\u4f5c\u8fc7\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u4ee5\u53ca\u4ecb\u7ecd\u6027\u7684\u6b65\u9aa4\uff0c\u4ece\u800c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7406\u89e3\u548c\u4f7f\u7528 gnn \u7684\u5b9e\u7528\u548c\u6613\u8bbf\u95ee\u7684\u6307\u5357\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7b2c\u4e8c\u6ce2\u6d6a\u6f6e\u7684\u524d\u5146: <\/strong><\/span><\/p>\n

    \u5bf9\u76ee\u524d\u5fb7\u56fd\u65b0\u51a0\u80ba\u708e\u6b7b\u4ea1\u4eba\u6570\u7684\u5206\u6790<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    The foreshadow of a second wave: An analysis of current COVID-19 fatalities in Germany<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/p>\n

    https:\/\/pattern.swarm<\/span>a.org\/paper?id=9bbec954-0d0b-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Matthias Linden,Jonas Dehning,Sebastian B. Mohr,Jan Mohring,Michael Meyer-Hermann,Iris Pigeot,Anita Sch\u00f6bel,Viola Priesemann<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981<\/span><\/strong>\uff1a<\/span><\/strong>\u7b2c\u4e8c\u6ce2 SARS-CoV-2\u75ab\u60c5\u6b63\u5728\u6570\u5341\u4e2a\u56fd\u5bb6\u5c55\u5f00\u3002\u7136\u800c\uff0c\u7b2c\u4e8c\u6ce2\u75c5\u4f8b\u5728\u65b0\u62a5\u544a\u75c5\u4f8b\u4e2d\u8868\u73b0\u5f3a\u70c8\uff0c\u4f46\u4e0e\u7b2c\u4e00\u6ce2\u75c5\u4f8b\u76f8\u6bd4\uff0c\u6b7b\u4ea1\u4eba\u6570\u8f83\u5c11\u3002\u5728\u8fc7\u53bb\u7684\u4e09\u4e2a\u6708\u91cc\uff0c\u5fb7\u56fd\u62a5\u544a\u7684\u75c5\u4f8b\u589e\u52a0\u4e86\u4e94\u500d\u6216\u66f4\u591a\uff0c\u800c\u6b7b\u4ea1\u4eba\u6570\u51e0\u4e4e\u6ca1\u6709\u589e\u52a0\u3002\u8fd9\u79cd\u5dee\u5f02\u4fc3\u4f7f\u4eba\u4eec\u63a8\u6d4b\uff0c\u62a5\u544a\u75c5\u4f8b\u7684\u589e\u52a0\u4e0d\u4f1a\u53cd\u6620\u7b2c\u4e8c\u6ce2\u75ab\u60c5\uff0c\u800c\u53ea\u662f\u66f4\u5e7f\u6cdb\u7684\u68c0\u6d4b\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u8fd9\u79cd\u660e\u663e\u7684\u5dee\u5f02\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53ef\u4ee5\u7528\u611f\u67d3\u8005\u7684\u5e74\u9f84\u7ed3\u6784\u6765\u89e3\u91ca\uff0c\u5e76\u4e14\u9884\u6d4b\u5728\u4e0d\u4e45\u7684\u5c06\u6765\uff0c\u968f\u7740\u4f20\u64ad\u518d\u6b21\u6269\u5927\u5230\u8001\u5e74\u4eba\u7fa4\uff0c\u6b7b\u4ea1\u4eba\u6570\u5c06\u660e\u663e\u589e\u52a0\u3002\u4e3a\u4e86\u91cd\u65b0\u5efa\u7acb\u63a7\u5236\uff0c\u907f\u514d\u8d85\u8fc7\u521b\u79d1\u6280\u4ea7\u80fd\u7684\u5f15\u7206\u6d41\u884c\uff0c\u6848\u4ef6\u6570\u91cf\u5fc5\u987b\u964d\u4f4e\u3002\u5426\u5219\uff0c\u63a7\u5236\u4f20\u64ad\u548c\u4fdd\u62a4\u5f31\u52bf\u7fa4\u4f53\u5c06\u9700\u8981\u66f4\u591a\u7684\u9650\u5236\u6027\u63aa\u65bd\u65f6\uff0c\u6700\u65b0\u7684\u533b\u9662\u5bb9\u91cf\u8fbe\u5230\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u6765\u81ea\u7cfb\u7edf\u7269\u7406\u7684\u7a33\u5065\u8bbe\u8ba1<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Robust Design from Systems Physics<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=9b106bfc-0d0b-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Andrei A. Klishin,Alec Kirkley,David J. Singer,Greg van Anders<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u73b0\u4ee3\u5de5\u7a0b\u3001\u96c6\u6210\u7cfb\u7edf\u4e2d\uff0c\u4e00\u4e2a\u91cd\u8981\u7684\u6311\u6218\u662f\u4ea7\u751f\u5065\u58ee\u7684\u8bbe\u8ba1\u3002\u786e\u4fdd\u7a33\u5065\u8bbe\u8ba1\u662f\u56f0\u96be\u7684\uff0c\u56e0\u4e3a\u5b50\u7cfb\u7edf\u8026\u5408\u5bf9\u6574\u4e2a\u7cfb\u7edf\u89c4\u8303\u7684\u53d8\u5316\u4ea7\u751f\u4e0d\u53ef\u9884\u77e5\u7684\u54cd\u5e94\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u8868\u660e\u8bbe\u8ba1\u5143\u7d20\u5bf9\u6574\u4e2a\u7cfb\u7edf\u89c4\u683c\u53d8\u5316\u7684\u54cd\u5e94\u53ef\u4ee5\u7528\u5f3a\/\u5f31\u548c\u8106\/\u97e7\u4e8c\u5206\u6cd5\u6765\u63cf\u8ff0\uff0c\u5c31\u50cf\u6750\u6599\u4e00\u6837\u3002\u6211\u4eec\u53d1\u73b0\u8fd9\u4e9b\u4e8c\u5206\u6cd5\u6765\u81ea\u4e8e\u65e9\u671f\u8bbe\u8ba1\u95ee\u9898\u7684\u7ec6\u89c2\u5904\u7406\uff0c\u6211\u4eec\u7528\u5e94\u529b-\u5e94\u53d8\u5173\u7cfb\u6765\u63cf\u8ff0\u8fd9\u4e9b\u95ee\u9898\u3002\u4e0e\u5176\u4ed6\u6700\u5148\u8fdb\u7684\u6280\u672f\u76f8\u6bd4\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u53cc\u56e0\u7d20\u9c81\u68d2\u6027\u5ea6\u91cf\uff0c\u5b83\u662f\u53ef\u8ba1\u7b97\u7684\u8bbe\u8ba1\u89e3\u51b3\u65b9\u6848\u96c6\u3002\u6211\u4eec\u7528\u6d77\u519b\u5de5\u7a0b\u4e2d\u7684\u6392\u5217\u95ee\u9898\u7684\u4f8b\u5b50\u6765\u8bf4\u660e\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f7f\u7528\uff0c\u4f46\u662f\u6211\u4eec\u7684\u65b9\u6cd5\u7acb\u5373\u9002\u7528\u4e8e\u96c6\u6210\u7cfb\u7edf\u8bbe\u8ba1\u4e2d\u7684\u5e7f\u6cdb\u95ee\u9898\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7f51\u7edc\u4e2d\u9ad8\u9636\u4f9d\u8d56\u7684\u6709\u6548\u5efa\u6a21: <\/strong><\/span><\/p>\n

    \u4ece\u7b97\u6cd5\u5230\u5f02\u5e38\u68c0\u6d4b\u7684\u5e94\u7528<\/strong><\/span><\/strong><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u539f\u6587\u6807<\/span><\/strong>\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Efficient mode<\/span>ling of higher-order dependencies in networks: from algorithm to application for anomaly detection<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=9525f194-0d0b-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Mandana Saebi,Jian Xu,Lance M. Kaplan,Bruno Ribeiro,Nitesh V. Chawla<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u4ee5\u52a8\u6001\u7f51\u7edc\u4e3a\u4ee3\u8868\u7684\u590d\u6742\u7cfb\u7edf\uff0c\u7531\u901a\u8fc7\u76f4\u63a5\u6216\u95f4\u63a5\u76f8\u4e92\u4f5c\u7528\u800c\u76f8\u4e92\u5f71\u54cd\u7684\u7ec4\u4ef6\u7ec4\u6210\u3002\u6700\u8fd1\u7684\u7814\u7a76\u8868\u660e\uff0c\u4f7f\u7528\u9ad8\u9636\u7f51\u7edc(HONs)\u5bf9\u8fd9\u7c7b\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u5efa\u6a21\u548c\u5206\u6790\u7684\u91cd\u8981\u6027\uff0c\u56e0\u4e3a\u5728\u5f00\u53d1\u4e00\u9636\u7f51\u7edc(FON)\u65f6\uff0c\u5178\u578b\u7684\u9a6c\u5c14\u53ef\u592b\u5047\u8bbe\u662f\u6709\u9650\u7684\u3002\u8fd9\u79cd\u9ad8\u9636\u7f51\u7edc\u8868\u793a\u4e0d\u4ec5\u80fd\u591f\u66f4\u7cbe\u786e\u5730\u8868\u793a\u5e95\u5c42\u7684\u590d\u6742\u7cfb\u7edf\uff0c\u800c\u4e14\u80fd\u591f\u5bfc\u81f4\u66f4\u7cbe\u786e\u7684\u7f51\u7edc\u5206\u6790\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u63d0\u51fa\u4e86\u4e00\u4e2a\u53ef\u6269\u5c55\u7684\u548c\u7cbe\u786e\u7684\u6a21\u578b\uff0cBuildHON + \uff0c\u7528\u4e8e\u9ad8\u9636\u7f51\u7edc\u8868\u793a\u7684\u6570\u636e\u6765\u81ea\u4e00\u4e2a\u590d\u6742\u7684\u7cfb\u7edf\uff0c\u5177\u6709\u4e0d\u540c\u7684\u4f9d\u8d56\u987a\u5e8f\u3002\u7136\u540e\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u8fd9\u79cd\u7531 BuildHON + \u5efa\u6a21\u7684\u9ad8\u9636\u7f51\u7edc\u8868\u793a\u6cd5\u5728\u8bc6\u522b\u5f02\u5e38\u65b9\u9762\u6bd4 FON \u5177\u6709\u66f4\u9ad8\u7684\u51c6\u786e\u6027\uff0c\u8fd9\u8868\u660e\u4e86\u5bf9\u9ad8\u9636\u7f51\u7edc\u8868\u793a\u6cd5\u548c\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u7684\u9700\u6c42\uff0c\u4ee5\u4fbf\u5f97\u51fa\u6709\u610f\u4e49\u7684\u7ed3\u8bba\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
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    \n
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    \u7f51\u7edc\u4e2d\u5fc3\u89c6\u89d2\u4e0b\u7684\u516c\u5e73\u611f\u77e5<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    Fairness Perception from a Network-Centric Perspective<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=333ad84e-0d0d-11eb-ac7c-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Farzan Masrour,Pang-Ning Tan,Abdol-Hossein Esfahanian<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u7740\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u5f71\u54cd\u8d8a\u6765\u8d8a\u5e7f\u6cdb\uff0c\u7b97\u6cd5\u516c\u5e73\u6027\u6210\u4e3a\u8fd1\u5e74\u6765\u4eba\u4eec\u5173\u6ce8\u7684\u4e3b\u8981\u95ee\u9898\u3002\u672c\u6587\u4ece\u7f51\u7edc\u4e2d\u5fc3\u7684\u89d2\u5ea6\u7814\u7a76\u7b97\u6cd5\u516c\u5e73\u6027\u95ee\u9898\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u76f4\u89c2\u51fd\u6570\uff0c\u79f0\u4e3a\u7f51\u7edc\u4e2d\u5fc3\u516c\u5e73\u611f\u77e5\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u79cd\u516c\u7406\u5316\u65b9\u6cd5\u6765\u5206\u6790\u5176\u6027\u8d28\u3002\u4f7f\u7528\u540c\u884c\u8bc4\u8bae\u7f51\u7edc\u4f5c\u4e3a\u6848\u4f8b\u7814\u7a76\uff0c\u6211\u4eec\u4e5f\u68c0\u67e5\u4e86\u5176\u5728\u8bc4\u4f30\u7eb8\u4e0a\u63a5\u53d7\u51b3\u5b9a\u7684\u516c\u5e73\u611f\u77e5\u65b9\u9762\u7684\u6548\u7528\u3002\u6211\u4eec\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u8fd9\u4e2a\u51fd\u6570\u6269\u5c55\u5230\u4e00\u4e2a\u88ab\u79f0\u4e3a\u516c\u5e73\u53ef\u89c1\u6027\u7684\u7fa4\u4f53\u516c\u5e73\u5ea6\u91cf\u6807\u51c6\uff0c\u5e76\u8bc1\u660e\u4e86\u5b83\u4e0e\u4eba\u53e3\u5e73\u7b49\u7684\u5173\u7cfb\u3002\u6211\u4eec\u8fd8\u4e3e\u4f8b\u8bf4\u660e\u4e86\u516c\u5e73\u6027\u53ef\u89c1\u6027\u5ea6\u91cf\u7684\u6f5c\u5728\u7f3a\u9677\uff0c\u8fd9\u53ef\u80fd\u88ab\u7528\u6765\u8bef\u5bfc\u4e2a\u4eba\u8ba4\u4e3a\u7b97\u6cd5\u51b3\u7b56\u662f\u516c\u5e73\u7684\u3002\u6211\u4eec\u6f14\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u589e\u52a0\u516c\u5e73\u611f\u77e5\u51fd\u6570\u7684\u5c40\u90e8\u90bb\u57df\u5927\u5c0f\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002<\/span><\/p>\n


    <\/p>\n

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    \u6765\u6e90\uff1a\u96c6\u667a\u6591\u56fe<\/section>\n
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    \u590d\u6742\u7cfb\u7edf\u524d\u6cbf\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u5982\u679c\u4f60\u7ecf\u5e38\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u548c\u8de8\u5b66\u79d1\u7814\u7a76\u8fdb\u5c55\uff0c\u662f\u7f51\u7edc\u8bba\u6587\u901f\u9012\u680f\u76ee\u7684\u957f\u671f\u8bfb\u8005\uff0c<\/span>\u6b22\u8fce\u626b\u63cf\u96c6\u667a\u5c0f\u52a9\u624b\uff0c\u5411\u6211\u4eec\u53cd\u9988\u4f60\u7684\u9700\u6c42<\/strong>\u3002\u6b22\u8fce\u63d0\u51fa\u5b9d\u8d35\u610f\u89c1\uff0c\u6211\u4eec\u4e00\u8d77\u6765\u63a2\u7d22\u8ffd\u8e2a\u524d\u6cbf\u8fdb\u5c55\u7684\u66f4\u597d\u65b9\u5f0f\u3002<\/span><\/p>\n


    <\/p>\n

    \u53c2\u4e0e\u8bba\u6587\u901f\u9012\u7528\u6237\u8c03\u7814\u540e\uff0c\u6211\u4eec\u5c06\u9080\u8bf7\u4f60\u52a0\u5165\u96c6\u667a\u7684\u79d1\u7814\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong>\u3002<\/span><\/p>\n


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    \u8fd1\u671f\u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u9012<\/strong><\/span><\/strong><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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    <\/strong><\/p>\n

    \u8d85\u56fe\u8d85\u8fb9\u7684\u5c40\u90e8\u51e0\u4f55\u53ca\u5176\u5728\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u5e94\u7528 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u90129\u7bc7<\/strong><\/a>
    <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    \u6d41\u7f51\u7edc\u4e2d\u6062\u590d\u4e0e\u5931\u6548\u6269\u6563\u7684\u62d3\u6251\u7406\u8bba | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901212\u7bc7<\/strong><\/a>
    <\/p>\n

    \u7ecf\u6d4e\u4e0e\u75be\u75c5\u4f20\u64ad: COVID 19\u7684\u91cd\u542f\u673a\u5236 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901211\u7bc7<\/strong><\/a>
    <\/p>\n

    \u57fa\u4e8e\u76ee\u6807\u5206\u7c7b\u548cTRIZ\u7684\u81ea\u7136\u542f\u53d1\u5f0f\u7b97\u6cd5 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\u7bc7<\/span><\/strong><\/a>
    <\/p>\n

    \u65b0\u51a0\u75c5\u6bd2\u5927\u6d41\u884c\u4e2d\u7684Twitter\u56fd\u5bb6\u5f62\u8c61\uff1a\u4ee5\u4e2d\u56fd\u4e3a\u4f8b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901211\u7bc7<\/strong><\/a>
    <\/p>\n

    \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2>\n

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

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


    <\/p>\n

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

    \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


    <\/p>\n

    \ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u4e86\u89e3\u66f4\u591a\u6700\u65b0arxiv\u8bba\u6587<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2><\/div>\n","protected":false},"excerpt":{"rendered":"

    \u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0arXiv\u9884\u5370\u672c\u8bba\u6587\u3002 \u672c\u6587\u662f\u5bf9\u8fd1\u671farXiv\u8bba\u6587\u7684\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002 \u6838\u5fc3\u901f\u9012 \u57ce\u5e02\u5f62\u6001\u4e0e\u589e\u957f\u7684\u5206\u5f62\u5efa\u6a21\u4e0e\u7a7a\u95f4\u5206\u6790\u2014\u2014\u4ee5\u6df1\u5733\u5e02\u4e3a\u4f8b\uff1b \u91d1\u878d\u5e94…<\/p>\n","protected":false},"author":1,"featured_media":21229,"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\/21230"}],"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=21230"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21230\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/21229"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21230"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=21230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}