{"id":58797,"date":"2025-04-22T23:21:36","date_gmt":"2025-04-22T15:21:36","guid":{"rendered":"https:\/\/swarma.org\/?p=58797"},"modified":"2025-04-22T23:21:36","modified_gmt":"2025-04-22T15:21:36","slug":"%e7%bb%93%e5%90%88%e9%85%8d%e5%88%86%e5%87%bd%e6%95%b0%e4%b8%8e%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%9a%84%e7%bd%91%e7%bb%9c%e7%b2%97%e7%b2%92%e5%8c%96%e6%96%b9%e6%b3%95%e4%b8%a8%e5%91%a8%e4%ba%94","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=58797","title":{"rendered":"\u7ed3\u5408\u914d\u5206\u51fd\u6570\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u7f51\u7edc\u7c97\u7c92\u5316\u65b9\u6cd5\u4e28\u5468\u4e94\u76f4\u64ad\u00b7\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e03\u671f"},"content":{"rendered":"
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
<\/span><\/section>\n
\n
\n
\n
\n
\n

<\/span><\/section>\n<\/section>\n
\n
\n

\u5bfc\u8bed<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n

\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n

\u8fd1\u5e74\u6765\uff0c\u7edf\u8ba1\u7269\u7406\u65b9\u6cd5\u88ab\u8fc1\u79fb\u5230\u590d\u6742\u7f51\u7edc\u4e0a\uff0c\u7528\u6765\u7406\u89e3\u4e0e\u5ea6\u91cf\u7f51\u7edc\u5728\u4e0d\u540c\u5c3a\u5ea6\u4e0b\u7684\u4fe1\u606f\u4f20\u64ad\u52a8\u529b\u5b66\u7279\u6027\u3002\u7136\u800c\uff0c\u8fd9\u4e00\u7cfb\u5217\u5de5\u5177\u7684\u4f7f\u7528\u53d7\u9650\u4e8e\u7f51\u7edc\u7684\u5c3a\u5bf8\u5e26\u6765\u7684\u65f6\u95f4\u590d\u6742\u5ea6\u6311\u6218\u3002\u5728\u672c\u6b21\u5206\u4eab\u4e2d\uff0c\u6211\u4eec\u5c06\u63d0\u51fa\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u53ef\u4ee5\u538b\u7f29\u7f51\u7edc\u5c3a\u5bf8\u5e76\u4fdd\u8bc1\u4fe1\u606f\u5904\u963f\u6ce2\u52a8\u529b\u5b66\u7279\u6027\u4e0d\u53d8\uff0c\u4e3a\u5206\u6790\u5927\u7f51\u7edc\u7684\u52a8\u529b\u5b66\u6027\u8d28\uff0c\u7406\u89e3\u7f51\u7edc\u7684\u591a\u5c3a\u5ea6\u5173\u7cfb\u5e26\u6765\u5e2e\u52a9\u3002<\/span><\/span><\/span><\/span><\/strong><\/p>\n


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

\u300c\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u300d\u8bfb\u4e66\u4f1a<\/a><\/span><\/strong>\u7b2c\u4e03\u671f\u7531\u5317\u4eac\u5e08\u8303\u5927\u5b66\u5f20\u6c5f\u6559\u6388\u8bfe\u9898\u7ec4\u7684\u535a\u58eb\u751f\u5f20\u7ae0\u4ecb\u7ecd\u4eca\u5e74\u4f5c\u4e3a\u4e00\u4f5c\u5728Nature Communications\u4e0a\u53d1\u8868\u7684\u4e00\u79cd\u57fa\u4e8e\u7edf\u8ba1\u7269\u7406\u548c\u673a\u5668\u5b66\u4e60\u7684\u590d\u6742\u7f51\u7edc\u7c97\u7c92\u5316\u65b9\u6848\uff0c\u4ee5\u53ca\u76f8\u5173\u80cc\u666f\u95ee\u9898\u3001\u65b9\u6cd5\u4e0e\u5b9e\u9a8c\u7ed3\u679c\u3002\u8bfb\u4e66\u4f1a\u5c06\u4e8e4\u670825\u65e5\uff08\u672c\u5468\u4e94\uff0919:30-21:30\u8fdb\u884c\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e\u8ba8\u8bba\u4ea4\u6d41\uff01<\/span><\/span><\/span><\/strong><\/span><\/strong><\/span><\/span><\/strong><\/p>\n

<\/section>\n<\/section>\n<\/section>\n
\n
<\/strong><\/strong><\/section>\n<\/section>\n
\n
<\/strong><\/strong><\/section>\n
<\/strong><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n
<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\"\u56fe\u7247\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
<\/section>\n


<\/span><\/span><\/p>\n

\n
\n
\n
\n
\n

<\/span><\/section>\n

<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n

\u5206\u4eab\u5185\u5bb9\u7b80\u4ecb<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/span><\/p>\n

\u5728\u672c\u6b21\u5206\u4eab\u4e2d\uff0c\u6211\u4eec\u5c06\u9996\u5148\u4ecb\u7ecd\u7edf\u8ba1\u7269\u7406\u5de5\u5177\u5982\u4f55\u88ab\u5e94\u7528\u4e8e\u590d\u6742\u7f51\u7edc\u4e0a\uff0c\u4f5c\u4e3a\u7f51\u7edc\u4fe1\u606f\u4f20\u64ad\u52a8\u529b\u5b66\u6027\u8d28\u7684\u5ea6\u91cf\u3002\u5728\u8fd9\u4e00\u90e8\u5206\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u914d\u5206\u51fd\u6570\u8fd9\u4e00\u6838\u5fc3\u6982\u5ff5\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u5c06\u4ecb\u7ecd\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u57fa\u672c\u539f\u7406\uff0c\u4ee5\u53ca\u5982\u4f55\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u548c\u914d\u5206\u51fd\u6570\u7684\u7ed3\u5408\u63d0\u51fa\u7f51\u7edc\u7c97\u7c92\u5316\u6a21\u578b\u3002\u6700\u540e\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u4e00\u7cfb\u5217\u76f8\u5173\u5b9e\u9a8c\uff0c\u5f15\u51fa\u7ed3\u8bba\u5e76\u5206\u6790\u6a21\u578b\u7684\u6027\u8d28\u3002<\/span><\/span><\/p>\n


<\/span><\/p>\n


<\/span><\/p>\n

\n
\n
\n
\n
\n

<\/span><\/section>\n

<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n

\u5206\u4eab\u5185\u5bb9\u5927\u7eb2<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/span><\/p>\n

\u80cc\u666f\u4ecb\u7ecd<\/span><\/span><\/p>\n

\u590d\u6742\u7f51\u7edc\u7684\u914d\u5206\u51fd\u6570<\/span><\/span><\/p>\n

\u56fe\u4e0a\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b<\/span><\/span><\/p>\n

\u65b9\u6cd5<\/span><\/span><\/p>\n

\u5b9e\u9a8c\u7ed3\u679c<\/span><\/span><\/p>\n

\u603b\u7ed3\u4e0e\u8ba8\u8bba<\/span><\/span><\/p>\n


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


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

\n
\n
\n
\n
\n

<\/span><\/section>\n

<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n

\u4e3b\u8981\u6d89\u53ca\u5230\u7684\u77e5\u8bc6\u6982\u5ff5<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

 <\/span><\/p>\n

1. \u7edf\u8ba1\u7269\u7406, Statistical Physics<\/span><\/span><\/p>\n

2. \u914d\u5206\u51fd\u6570, Partition Function<\/span><\/span><\/p>\n

3. \u56fe\u795e\u7ecf\u7f51\u7edc, Graph Neural Networks (GNNs)<\/span><\/span><\/p>\n

4. \u7f51\u7edc\u7c97\u7c92\u5316\u65b9\u6848, Network Coarse-Graining Scheme<\/span><\/span><\/p>\n

5. \u7f51\u7edc\u591a\u5c3a\u5ea6\u5206\u6790, Multi-Scale Analysis of Networks<\/span><\/span><\/p>\n


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


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

\n
\n
\n
\n
\n

<\/span><\/section>\n

<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n

\u8bb2\u8005\u4ecb\u7ecd<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/span><\/p>\n

<\/section>\n

\u5f20\u7ae0<\/span><\/span><\/strong>\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u535a\u58eb\u751f\u3002\u7814\u7a76\u5174\u8da3\u96c6\u4e2d\u4e8e\u590d\u6742\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7684\u4ea4\u53c9\u9886\u57df\uff0c\u5177\u4f53\u5305\u62ec\u673a\u5668\u5b66\u4e60\uff0c\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u7b49\u3002<\/span><\/span><\/p>\n


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


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

\n
\n
\n
\n
\n

<\/span><\/section>\n

<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n

\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/span><\/p>\n

Zhang, Z., Ghavasieh, A., Zhang, J. <\/span><\/span>et al.<\/span><\/span><\/em> Coarse-graining network flow through statistical physics and machine learning. <\/span><\/span>Nat Commun<\/span><\/span><\/em>16<\/span><\/span><\/strong>, 1605 (2025). https:\/\/doi.org\/10.1038\/s41467-025-56034-2<\/span><\/span><\/p>\n

\u6211\u4eec\u5728\u4e4b\u524d\u5bf9\u8fd9\u7bc7\u6587\u7ae0\u8fdb\u884c\u4e86\u8be6\u7ec6\u89e3\u8bfb\uff0c\u611f\u5174\u8da3\u7684\u670b\u53cb\u53ef\u4ee5\u9605\u8bfb\u2014\u2014<\/span>\u5982\u4f55\u83b7\u5f97\u4e00\u4e2a\u7f51\u7edc\u7684\u7d20\u63cf\uff1f\u2014\u2014\u7edf\u8ba1\u7269\u7406\u548c\u673a\u5668\u5b66\u4e60\u5171\u540c\u7ed9\u4f60\u7b54\u6848\uff5c\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3NC\u6700\u65b0\u6210\u679c<\/span><\/a><\/span><\/p>\n


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

<\/span><\/section>\n

\n
\n
\n
\n
\n

<\/span><\/section>\n

<\/span><\/section>\n
\n
<\/section>\n<\/section>\n<\/section>\n
\n

\u62a5\u540d\u65b9\u5f0f<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/span><\/p>\n

\u76f4\u64ad\u4fe1\u606f<\/span><\/span><\/section>\n
\u65f6\u95f4\uff1a<\/span><\/span>2025\u5e744\u670825\u65e5 \u5468\u4e94 19:30-21:30<\/span><\/span><\/strong><\/span><\/section>\n
<\/section>\n
\u62a5\u540d\u53c2\u4e0e\u8bfb\u4e66\u4f1a\uff1a<\/span><\/strong><\/span><\/section>\n
<\/section>\n

\u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/study_group_issue\/896?from=wechat<\/span><\/span><\/p>\n


<\/span><\/span><\/section>\n
\u626b\u7801\u53c2\u4e0e\u300c\u590d\u6742\u7cfb\u7edf\u7f51\u7edc\u52a8\u529b\u5b66\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u52a0\u5165\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u793e\u533a\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a2\u7d22\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u8fd9\u4e00\u524d\u6cbf\u9886\u57df\u7684\u53d1\u5c55\u3002<\/span><\/span><\/section>\n

<\/span><\/section>\n

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

\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/span><\/p>\n

\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\u7269\u7406\u7cfb\u6559\u6388\u674e\u660e\u3001\u676d\u5dde\u5e08\u8303\u5927\u5b66\u963f\u91cc\u5df4\u5df4\u5546\u5b66\u9662\u6559\u6388\u5218\u6da6\u7136\u3001\u540c\u6d4e\u5927\u5b66\u526f\u6559\u6388\u5f20\u6bc5\u8d85\u3001\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7279\u8058\u526f\u7814\u7a76\u5458\u53f2\u8d35\u5143\u4e0e\u5728\u8bfb\u535a\u58eb\u751f\u90b1\u4ef2\u666e\u3001\u5f20\u7ae0\u5171\u540c\u53d1\u8d77<\/span><\/span>\u300c\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66\u300d\u8bfb\u4e66\u4f1a<\/a><\/span>\u3002\u672c\u6b21\u8bfb\u4e66\u4f1a\u5c06\u63a2\u8ba8\uff1a\u540c\u6b65\u76f8\u53d8\u7684\u4e34\u754c\u6027\u3001\u5982\u4f55\u666e\u9002\u5730\u523b\u753b\u591a\u7a33\u6001\u4e0e\u4e34\u754c\u70b9\u3001\u5982\u4f55\u8bc6\u522b\u5e76\u9884\u6d4b\u4e34\u754c\u8f6c\u53d8\u3001\u5982\u4f55\u901a\u8fc7\u5c40\u90e8\u5e72\u9884\u6765\u8c03\u63a7\u7cfb\u7edf\u4fdd\u6301\u6216\u56de\u5230\u671f\u671b\u7a33\u6001\u3001\u7206\u70b8\u903e\u6e17\u4e34\u754c\u884c\u4e3a\u7684\u5173\u952e\u7279\u5f81\u3001\u4e0d\u540c\u7c7b\u578b\u7684\u7ea7\u8054\u8fc7\u7a0b\u5bf9\u903e\u6e17\u76f8\u53d8\u7684\u5f71\u54cd\u6709\u4f55\u5f02\u540c\u3001\u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\u7684\u5f71\u54cd\u80fd\u5426\u7b49\u6548\u4e3a\u82e5\u5e72\u7b80\u5355\u673a\u5236\u7684\u53e0\u52a0\u3001\u5982\u4f55\u6709\u6548\u5730\u4fc3\u8fdb\u4eba\u7c7b\u4e2a\u4f53\u95f4\u7684\u5408\u4f5c\u7b49\u95ee\u9898\u3002<\/span><\/span><\/span><\/section>\n

<\/span><\/span><\/section>\n
\u8bfb\u4e66\u4f1a\u8ba1\u5212\u4ece3\u67087\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e94\u665a19:30-21:30\u8fdb\u884c\uff0c\u6301\u7eed8-10\u5468\u3002\u8bda\u631a\u9080\u8bf7\u9886\u57df\u5185\u7814\u7a76\u8005\u3001\u5bfb\u6c42\u8de8\u9886\u57df\u878d\u5408\u7684\u7814\u7a76\u8005\u52a0\u5165\uff0c\u5171\u540c\u63a2\u8ba8\u3002<\/span><\/span><\/section>\n


<\/span><\/span><\/p>\n

<\/span><\/a><\/section>\n
\n


<\/span><\/span><\/p>\n

\u8be6\u60c5\u8bf7\u89c1\uff1a\u590d\u6742\u7f51\u7edc\u4e0a\u7684\u81ea\u7ec4\u7ec7\u4e0e\u96c6\u4f53\u884c\u4e3a\uff1a\u4ece\u6269\u6563\u3001\u76f8\u53d8\u5230\u535a\u5f08 | \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/span><\/p>\n<\/section>\n


<\/span><\/span><\/section>\n

<\/span><\/span><\/section>\n
\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed \u8fd1\u5e74\u6765\uff0c\u7edf\u8ba1\u7269\u7406\u65b9\u6cd5\u88ab\u8fc1\u79fb\u5230\u590d\u6742\u7f51\u7edc\u4e0a\uff0c\u7528\u6765\u7406\u89e3\u4e0e\u5ea6\u91cf\u7f51\u7edc\u5728\u4e0d\u540c\u5c3a\u5ea6\u4e0b\u7684\u4fe1\u606f\u4f20\u64ad\u52a8\u529b\u5b66\u7279\u6027\u3002\u7136\u800c\uff0c\u8fd9\u4e00\u7cfb\u5217\u5de5\u5177\u7684\u4f7f\u7528\u53d7\u9650\u4e8e\u7f51\u7edc\u7684\u5c3a\u5bf8\u5e26\u6765\u7684\u65f6\u95f4\u590d\u6742\u5ea6\u6311\u6218\u3002\u5728\u672c\u6b21\u5206\u4eab\u4e2d\uff0c\u6211\u4eec\u5c06\u63d0\u51fa\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u53ef\u4ee5\u538b\u7f29\u7f51\u7edc\u5c3a\u5bf8\u5e76\u4fdd\u8bc1\u4fe1\u606f\u5904\u963f\u6ce2\u52a8\u529b\u5b66\u7279\u6027\u4e0d\u53d8\uff0c\u4e3a\u5206\u6790\u5927\u7f51\u7edc\u7684\u52a8\u529b\u5b66\u6027\u8d28\uff0c\u7406\u89e3\u7f51…<\/p>\n","protected":false},"author":0,"featured_media":58788,"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\/58797"}],"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=58797"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/58797\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/58788"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=58797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=58797"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=58797"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=58797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}