{"id":1073925,"date":"2024-06-07T15:24:52","date_gmt":"2024-06-07T22:24:52","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-blog-post&#038;p=1073925"},"modified":"2024-09-25T04:20:20","modified_gmt":"2024-09-25T11:20:20","slug":"dig-nature-machine-intelligence","status":"publish","type":"msr-blog-post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/articles\/dig-nature-machine-intelligence\/","title":{"rendered":"\u5bf9\u8bddNature\u5b50\u520a\u8bba\u6587\u4f5c\u8005\uff1aDiG\u5982\u4f55\u63ed\u793a\u86cb\u767d\u8d28\u79d8\u5bc6"},"content":{"rendered":"\n<p><em>\u4f5c\u8005\uff1a\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3<\/em><\/p>\n\n\n\n<p>\u7f16\u8005\u6309\uff1a\u5c3d\u7ba1\u5f53\u524d\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6280\u672f\u9884\u6d4b\u751f\u7269\u5206\u5b50\u7ed3\u6784\u7684\u6a21\u578b\u5df2\u7ecf\u53ef\u4ee5\u7cbe\u786e\u9884\u6d4b\u5305\u62ec\u86cb\u767d\u8d28\u3001\u6838\u9178\u3001\u5c0f\u5206\u5b50\u3001\u79bb\u5b50\u548c\u4fee\u9970\u6b8b\u57fa\u5728\u5185\u7684\u590d\u5408\u7269\u7ed3\u6784\uff0c\u4f46\u5bf9\u4e8e\u79d1\u5b66\u5bb6\u4eec\u6765\u8bf4\u4ec5\u4e86\u89e3\u5206\u5b50\u7684\u5fae\u89c2\u7ed3\u6784\u8fd8\u8fdc\u8fdc\u4e0d\u591f\uff0c\u56e0\u4e3a\u5206\u5b50\u7684\u5b8f\u89c2\u5c5e\u6027\u548c\u529f\u80fd\u5f80\u5f80\u53d6\u51b3\u4e8e\u5206\u5b50\u7ed3\u6784\u5728\u5e73\u8861\u6001\u4e0b\u7684\u5206\u5e03\u3002<\/p>\n\n\n\n<p>\u7528\u4e8e\u5206\u5b50\u7ed3\u6784\u5e73\u8861\u5206\u5e03\u9884\u6d4b\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6 Distributional Graphormer\uff08DiG\uff09\u7684\u6700\u65b0\u8bba\u6587\uff0c\u8fd1\u671f\u5728\u300a\u81ea\u7136-\u673a\u5668\u667a\u80fd\u300b\uff08Nature Machine Intelligence\uff09\u6742\u5fd7\u4e0a\u53d1\u8868\u3002DiG \u5b9e\u73b0\u4e86\u5bf9\u5206\u5b50\u52a8\u6001\u7edf\u8ba1\u7279\u6027\u8fdb\u884c\u7aef\u5230\u7aef\u7684\u5efa\u6a21\uff0c\u5728\u7269\u8d28\u7684\u5fae\u89c2\u5206\u5b50\u7ed3\u6784\u548c\u5b8f\u89c2\u7269\u5316\u5c5e\u6027\u4e4b\u95f4\u5efa\u7acb\u4e86\u8fde\u63a5\u7684\u6865\u6881\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u8fdb\u4e00\u6b65\u4e86\u89e3 DiG \u8fd9\u4e00 AI \u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784\u7684\u6700\u65b0\u65b9\u6cd5\u548c\u5176\u80cc\u540e\u7684\u7814\u7a76\u7ecf\u5386\uff0c\u6211\u4eec\u4e0e\u8bba\u6587\u7684\u5171\u540c\u4e00\u4f5c\u3001\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u5b9e\u4e60\u751f\u4f55\u7eaa\u8a00\u4e00\u8d77\u804a\u4e86\u804a\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\u86cb\u767d\u8d28\u662f\u751f\u547d\u7684\u672c\u8d28\uff0c\u7406\u89e3\u86cb\u767d\u8d28\u5206\u5b50\u7684\u529f\u80fd\u5bf9\u751f\u7269\u7814\u7a76\u81f3\u5173\u91cd\u8981\u3002\u800c\u201c\u7ed3\u6784\u51b3\u5b9a\u529f\u80fd\u201d\uff0c\u56e0\u6b64\u751f\u7269\u5b66\u5bb6\u5f80\u5f80\u4f7f\u7528\u51b7\u51bb\u7535\u955c\u7b49\u624b\u6bb5\u89c2\u5bdf\u86cb\u767d\u8d28\u5206\u5b50\u7684\u7ed3\u6784\u3002\u968f\u7740\u4eba\u5de5\u667a\u80fd\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u5982\u4eca\u4eba\u4eec\u5df2\u7ecf\u53ef\u4ee5\u5229\u7528\u6700\u5148\u8fdb\u7684 AI \u6280\u672f\u6765\u9884\u6d4b\u86cb\u767d\u8d28\u5206\u5b50\u7ed3\u6784\uff0c\u4ee5\u514d\u53bb\u51b7\u51bb\u7535\u955c\u6602\u8d35\u800c\u53c8\u8017\u65f6\u7684\u8fc7\u7a0b\u3002<\/p>\n\n\n\n<p>\u7136\u800c\uff0c\u86cb\u767d\u8d28\u5e76\u4e0d\u662f\u9759\u6b62\u4e0d\u52a8\u7684\u521a\u4f53\uff0c\u5b83\u4eec\u65e0\u65f6\u65e0\u523b\u4e0d\u5728\u8fd0\u52a8\u5e76\u6709\u4e00\u5b9a\u6982\u7387\u53d8\u6362\u81ea\u5df1\u7684\u7ed3\u6784\u3002\u4e0d\u7ba1\u662f\u51b7\u51bb\u7535\u955c\u8fd8\u662f\u7ed3\u6784\u9884\u6d4b\u7b97\u6cd5\uff0c\u90fd\u53ea\u80fd\u5f97\u5230\u86cb\u767d\u8d28\u7684\u9759\u6001\u7ed3\u6784\uff0c\u8fd9\u5c31\u597d\u6bd4\u7528\u76f8\u673a\u6293\u62cd\u5b69\u5b50\u5954\u8dd1\u7684\u573a\u666f\uff0c\u4f60\u5f97\u5230\u7684\u53ea\u662f\u5b69\u5b50\u67d0\u4e00\u77ac\u95f4\u7684\u9759\u6001\u5f62\u6001\u3002\u8fd9\u5f20\u9759\u6001\u7684\u201c\u7167\u7247\u201d\u5bf9\u4e8e\u7406\u89e3\u86cb\u767d\u8d28\u5b8c\u6574\u7684\u529f\u80fd\u8fdc\u8fdc\u4e0d\u591f\uff0c\u79d1\u5b66\u5bb6\u4eec\u9700\u8981\u7684\u662f\u638c\u63e1\u86cb\u767d\u7ed3\u6784\u7684\u5206\u5e03\u6765\u7406\u89e3\u5176\u529f\u80fd\u5e76\u63a8\u65ad\u51fa\u91cd\u8981\u7684\u5b8f\u89c2\u6027\u8d28\u3002<\/p>\n\n\n\n<p>\u4f8b\u5982\uff0c\u65b0\u51a0\u75c5\u6bd2 Omicron \u7684\u53d8\u79cd\u56e0\u5176\u6781\u5f3a\u7684\u611f\u67d3\u6027\u5728\u4f17\u591a\u53d8\u79cd\u4e2d\u683c\u5916\u7a81\u51fa\u3002\u4f46\u8fd9\u79cd\u4f20\u67d3\u6027\u7684\u589e\u5f3a\u4ec5\u4ec5\u662f\u56e0\u4e3a\u5728\u65b0\u51a0\u75c5\u6bd2\u7528\u4e8e\u611f\u67d3\u4eba\u4f53\u7684\u523a\u7a81\u86cb\u767d\u4e0a\u670930\u4f59\u4e2a\u4f4d\u7f6e\u7684\u7a81\u53d8\u3002\u8fd9\u4e9b\u7a81\u53d8\u5e76\u4e0d\u4f1a\u663e\u8457\u5f71\u54cd\u5230\u523a\u7a81\u86cb\u767d\u7684\u7ed3\u6784\uff0c\u56e0\u6b64\u4e0d\u7ba1\u4f7f\u7528\u51b7\u51bb\u7535\u955c\u8fd8\u662f\u6700\u65b0\u7684\u7ed3\u6784\u9884\u6d4b\u7b97\u6cd5\u90fd\u65e0\u6cd5\u89e3\u91ca\u5176\u4e3a\u4f55\u611f\u67d3\u6027\u53d8\u5f3a\u3002\u53ef\u662f\u5982\u679c\u6211\u4eec\u77e5\u9053\u53d8\u5f02\u540e\u523a\u7a81\u86cb\u767d\u7ed3\u6784\u7684\u5206\u5e03\uff0c\u90a3\u4e48\u5c31\u4f1a\u53d1\u73b0\u5176\u4e0d\u540c\u7ed3\u6784\u51fa\u73b0\u7684\u6982\u7387\u53d1\u751f\u4e86\u53d8\u5316\u2014\u2014\u7a81\u53d8\u5bfc\u81f4\u4fb5\u67d3\u4eba\u4f53\u7684\u7ed3\u6784\u6982\u7387\u5927\u5927\u589e\u52a0\uff0c\u4e5f\u5c31\u89e3\u91ca\u4e86 Omicron \u53d8\u79cd\u5f3a\u611f\u67d3\u6027\u7684\u539f\u56e0\u3002<\/p>\n\n\n\n<p>\u7531\u6b64\u53ef\u89c1\uff0c\u5206\u5e03\u9884\u6d4b\u5bf9\u4e8e\u7406\u89e3\u86cb\u767d\u8d28\u5206\u5b50\u7684\u91cd\u8981\u6027\uff0c\u800c\u8fd9\u4e5f\u662f\u56f0\u6270\u79d1\u5b66\u5bb6\u4eec\u6570\u5341\u5e74\u7684\u96be\u9898\u3002\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u4e8e2023\u5e74\u53d1\u5e03\u4e86\u53ef\u7528\u4e8e\u9884\u6d4b\u5206\u5b50\u7ed3\u6784\u5e73\u8861\u5206\u5e03\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6 Distributional Graphormer \uff08DIG\uff09\uff0c\u65e8\u5728\u4f7f\u7528\u6700\u5148\u8fdb\u7684\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u89e3\u51b3\u5206\u5b50\u7cfb\u7edf\u7684\u5206\u5e03\u9884\u6d4b\u95ee\u9898\u3002\u901a\u8fc7\u63d0\u4f9b\u4e00\u79cd\u5728\u7edf\u8ba1\u4e0a\u7406\u89e3\u5206\u5b50\u7cfb\u7edf\u7684\u5b9e\u8d28\u6027\u65b9\u6cd5\uff0cDiG \u4e3a\u5206\u5b50\u79d1\u5b66\u9886\u57df\u7684\u7814\u7a76\u5f00\u8f9f\u4e86\u65b0\u7684\u673a\u9047\u3002\u76f8\u5173\u8bba\u6587\u5df2\u4e8e\u8fd1\u671f\u53d1\u8868\u5728\u4e86\u300a\u81ea\u7136-\u673a\u5668\u667a\u80fd\u300b\uff08Nature Machine Intelligence\uff09\u6742\u5fd7\u4e0a\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"662\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-1-1024x662-1.png\" alt=\"nature machine intelligence: Predicting equilibrium distributions for molecular systems with deep learning\" class=\"wp-image-1073931\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-1-1024x662-1.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-1-1024x662-1-300x194.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-1-1024x662-1-768x497.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-1-1024x662-1-240x155.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">DiG \u7684\u6700\u65b0\u8bba\u6587\u300aPredicting equilibrium distributions for molecular systems with deep learning\u300b\u53d1\u8868\u5728\u4e86\u81ea\u7136\u6742\u5fd7\u5b50\u520a\u300a\u81ea\u7136-\u673a\u5668\u667a\u80fd\u300b<\/figcaption><\/figure>\n\n\n\n<p><strong>DiG \u6700\u65b0\u8bba\u6587\uff1aPredicting equilibrium distributions for molecular systems with deep learning<\/strong><\/p>\n\n\n\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.nature.com\/articles\/s42256-024-00837-3\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.nature.com\/articles\/s42256-024-00837-3<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>DiG demo \u9875\u9762\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/distributionalgraphormer.github.io\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/distributionalgraphormer.github.io\/<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u4e0b\u9762\uff0c\u8ba9\u6211\u4eec\u901a\u8fc7\u4e0e\u8bba\u6587\u5171\u540c\u4e00\u4f5c\u3001\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u5b9e\u4e60\u751f\u4f55\u7eaa\u8a00\u7684\u5bf9\u8bdd\uff0c\u4e00\u8d77\u6765\u4e86\u89e3 DiG \u80cc\u540e\u7684\u6545\u4e8b\u3002<\/p>\n\n\n\n<p><strong>\u95ee\uff1a\u8bf7\u4ecb\u7ecd\u4e00\u4e0b\u5206\u5b50\u7ed3\u6784\u9884\u6d4b\u9886\u57df\u7684\u73b0\u72b6\u53ca DiG \u7684\u4e3b\u8981\u7a81\u7834\u3002<\/strong><\/p>\n\n\n\n<p><strong>\u7b54\uff1a<\/strong>\u975e\u5e38\u9ad8\u5174\u6211\u4eec\u80fd\u591f\u5728\u8fd9\u4e2a\u9886\u57df\u505a\u51fa\u4e00\u4e9b\u8d21\u732e\uff0c\u540c\u65f6\u4e5f\u5f88\u8363\u5e78\u80fd\u591f\u548c\u5f88\u591a\u4f18\u79c0\u7684\u5de5\u4f5c\u4e00\u8d77\u63a8\u52a8\u8fd9\u4e2a\u9886\u57df\u7684\u8fdb\u6b65\u3002\u4e0e\u9884\u6d4b\u751f\u7269\u5206\u5b50\u7684\u9759\u6001\u4e09\u7ef4\u7ed3\u6784\u4e0d\u540c\uff0cDiG \u662f\u9884\u6d4b\u86cb\u767d\u8d28\u7b49\u5206\u5b50\u4f53\u7cfb\u7684\u7ed3\u6784\u5206\u5e03\uff0c\u4e5f\u5c31\u662f\u5b83\u4eec\u5728\u5747\u8861\u72b6\u6001\u4e0b\u7684\u4e0d\u540c\u72b6\u6001\u3002\u8fd9\u4e24\u4e2a\u65b9\u9762\u90fd\u662f\u5206\u5b50\u79d1\u5b66\u9886\u57df\u4e2d\u7684\u91cd\u8981\u95ee\u9898\uff0c\u4e5f\u662f\u76f8\u4e92\u8865\u5145\u7684\u3002<\/p>\n\n\n\n<p>\u5728 DiG \u4e2d\uff0c\u6211\u4eec\u4e0d\u4ec5\u5efa\u6a21\u4e86\u86cb\u767d\u8d28\u5206\u5b50\u4f53\u7cfb\uff0c\u8fd8\u5904\u7406\u4e86\u86cb\u767d\u8d28-\u5c0f\u5206\u5b50\u914d\u4f53\u4f53\u7cfb\u3001\u50ac\u5316\u5242\u4f53\u7cfb\u548c\u6750\u6599\u4f53\u7cfb\u7b49\u3002\u8fd9\u4e9b\u5206\u5b50\u4f53\u7cfb\u6709\u4e00\u4e2a\u5171\u540c\u7684\u7279\u70b9\uff0c\u5c31\u662f\u5728\u7a33\u5b9a\u72b6\u6001\u4e0b\u7cfb\u7edf\u4e5f\u53ef\u80fd\u6709\u7740\u4e0d\u540c\u7684\u7ed3\u6784\u72b6\u6001\u3002\u6211\u4eec\u5e0c\u671b\u901a\u8fc7 DiG \u5e2e\u52a9\u7814\u7a76\u8005\u4eec\u66f4\u597d\u5730\u7406\u89e3\u86cb\u767d\u8d28\u7b49\u5206\u5b50\u4f53\u7cfb\u7684\u52a8\u6001\u6027\u548c\u591a\u6837\u6027\uff0c\u4e3a\u672a\u6765\u7684\u76f8\u5173\u7814\u7a76\u53ca\u5e94\u7528\u63d0\u4f9b\u4e00\u4e9b\u65b0\u7684\u601d\u8def\u3002<\/p>\n\n\n\n<p><strong>\u95ee\uff1a\u4f60\u8ba4\u4e3a\u5206\u5b50\u7ed3\u6784\u9884\u6d4b\u9886\u57df\u8fd8\u6709\u54ea\u4e9b\u91cd\u8981\u95ee\u9898\u6ca1\u6709\u89e3\u51b3\uff1f<\/strong><\/p>\n\n\n\n<p><strong>\u7b54\uff1a<\/strong>\u76ee\u524d\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6765\u89e3\u51b3\u5206\u5b50\u79d1\u5b66\u9886\u57df\u7684\u95ee\u9898\uff08\u5982\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u7b49\uff09\u6b63\u5904\u4e8e\u52a0\u901f\u53d1\u5c55\u7684\u8fdb\u7a0b\u4e4b\u4e2d\uff0c\u80fd\u591f\u51c6\u786e\u9884\u6d4b\u751f\u7269\u5206\u5b50\u7ed3\u6784\u7684\u7814\u7a76\u5de5\u4f5c\uff0c\u8ba9\u6211\u4eec\u770b\u5230\u4e86\u8fd9\u4e2a\u9886\u57df\u975e\u51e1\u7684\u6f5c\u529b\u3002<\/p>\n\n\n\n<p>\u5728\u6211\u770b\u6765\uff0c\u4eba\u5de5\u667a\u80fd\u52a0\u901f\u79d1\u5b66\u53d1\u5c55\uff0c\u4e0d\u4ec5\u4ec5\u9700\u8981\u6210\u4e3a\u8f85\u52a9\u79d1\u7814\u4eba\u5458\u7684\u597d\u5de5\u5177\uff0c\u8fd8\u9700\u8981\u6df1\u5165\u5230\u79d1\u5b66\u63a2\u7d22\u7684\u5168\u6d41\u7a0b\u4e2d\u53bb\uff0c\u5305\u62ec\u63d0\u95ee\u3001\u5047\u8bbe\u3001\u5b9e\u9a8c\u3001\u603b\u7ed3\u7b49\uff0c\u624d\u80fd\u8ba9\u4eba\u7c7b\u53ef\u4ee5\u4e13\u6ce8\u4e8e\u66f4\u6709\u521b\u9020\u6027\u7684\u5de5\u4f5c\uff0c\u4f46\u76ee\u524d\u8fd9\u65b9\u9762\u4ecd\u9762\u4e34\u5de8\u5927\u7684\u6311\u6218\u3002\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u5c06\u4f1a\u4ece\u201c\u5de5\u5177\u201d\u8fdb\u5316\u4e3a\u7814\u7a76\u4eba\u5458\u7684\u201c\u52a9\u624b\u201d\uff0c\u7ed3\u5408\u8ba1\u7b97\u3001\u6a21\u62df\u548c\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u5b9e\u9a8c\u7b49\u624b\u6bb5\uff0c\u6700\u7ec8\u5b9e\u73b0\u81ea\u52a8\u5316\u3001\u89c4\u6a21\u5316\u7684\u79d1\u5b66\u53d1\u73b0\u3002\u540c\u65f6\uff0c\u5728\u8fd9\u4e00\u8fc7\u7a0b\u4e2d\uff0c\u4e1a\u754c\u548c\u5168\u793e\u4f1a\u8fd8\u8981\u4fdd\u8bc1\u5176\u5b89\u5168\u3001\u53ef\u63a7\u3001\u53ef\u9760\uff0c\u786e\u4fdd\u6784\u5efa\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u3002\u672a\u6765\uff0c\u6211\u4eec\u5e0c\u671b\u5728\u8fd9\u4e00\u65b9\u5411\u4e0a\u6301\u7eed\u7814\u7a76\uff0c\u8d21\u732e\u81ea\u5df1\u7684\u529b\u91cf\u3002<\/p>\n\n\n\n<p><strong>\u95ee\uff1a\u5f88\u591a\u6a21\u578b\u67b6\u6784\u90fd\u662f\u5c06 Structural Module \u6539\u4e3a Diffusion Model\u3002\u8fd9\u5176\u4e2d\u7684\u52a8\u673a\u548c\u539f\u56e0\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n\n\n\n<p><strong>\u7b54\uff1a<\/strong>Diffusion Model \u5f53\u524d\u5728\u89c6\u89c9\u9886\u57df\u5e94\u7528\u5e7f\u6cdb\uff0c\u5927\u5bb6\u5e38\u8bf4\u7684\u5404\u79cd\u6587\u751f\u56fe\/\u89c6\u9891\uff08text to image\/video\uff09\u6a21\u578b\uff0c\u5982 DALL-E\uff0cStable Diffusion\uff0cMidjourney\uff0cSora \u7b49\u5927\u90e8\u5206\u90fd\u662f\u6b64\u7c7b\u6a21\u578b\u3002\u6211\u4eec\u9009\u62e9\u751f\u6210\u5f0f\u6a21\u578b Diffusion Model \u4f5c\u4e3a DiG \u7684\u5efa\u6a21\u65b9\u5f0f\uff0c\u662f\u57282022\u5e74\u5e95\u9879\u76ee\u542f\u52a8\u65f6\u8fdb\u884c\u4e86\u8c03\u7814\u603b\u7ed3\u4e4b\u540e\uff0c\u7ed3\u5408\u5206\u5b50\u7cfb\u7edf\u7684\u672c\u8d28\u7279\u70b9\u51b3\u5b9a\u7684\u3002<\/p>\n\n\n\n<p>\u4e3e\u4f8b\u6765\u8bf4\uff0c\u5982\u679c\u67d0\u4e2a\u5206\u5b50\u5b58\u5728\u5f00\u542f\uff08open\uff09\u548c\u5173\u95ed\uff08closed\uff09\u4e24\u4e2a\u72b6\u6001\u7684\u7ed3\u6784\uff0c\u91c7\u7528\u751f\u6210\u5f0f\u6a21\u578b\u7684\u5efa\u6a21\u53ef\u4ee5\u5f88\u597d\u5730\u8fd8\u539f\u771f\u5b9e\u60c5\u51b5\uff0c\u800c\u91c7\u7528\u76f4\u63a5\u9884\u6d4b\u7684\u65b9\u5f0f\u5219\u53ef\u80fd\u4f1a\u7531\u4e8e\u5e73\u5747\u6548\u5e94\uff0c\u5b66\u4e60\u5e76\u9884\u6d4b\u51fa\u534a\u5f00\u542f\uff08semi-open\uff09\u8fd9\u6837\u7684\u9519\u8bef\u7ed3\u6784\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0c\u4e8e\u53bb\u5e746\u6708\u53d1\u5e03\u7684 DiG \u8bba\u6587\u66fe\u4ecb\u7ecd\u9053\uff0c\u6211\u4eec\u5de7\u5999\u5730\u5229\u7528 Diffusion Model \u4e0e\u7269\u7406\u65b9\u7a0b\uff08\u5982 Fokker-Planck \u65b9\u7a0b\uff09\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u63d0\u51fa\u4e86\u7269\u7406\u4fe1\u606f\u6269\u6563\u9884\u8bad\u7ec3\uff08Physics-Informed Diffusion Pre-training, PIDP\uff09 \u7b49\u76f4\u63a5\u5229\u7528\u5206\u5b50\u4f53\u7cfb\u80fd\u91cf\u51fd\u6570\u7684\u9884\u8bad\u7ec3\u7b97\u6cd5\uff0c\u4ece\u800c\u53bb\u9664\u4e86\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u6837\u672c\u4e00\u5b9a\u8981\u7b26\u5408\u7a33\u6001\u5206\u5e03\u7684\u9650\u5236\uff0c\u6781\u5927\u7f13\u89e3\u4e86\u6a21\u578b\u5bf9\u6570\u636e\u7684\u4f9d\u8d56\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-2-300x300.png\" alt=\"Predicting equilibrium distributions for molecular systems with deep learning | man posing for the camera\" class=\"wp-image-1073934\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-2-300x300.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-2-150x150.png 150w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-2-180x180.png 180w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-2-360x360.png 360w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/dig-nature-machine-intelligence-2.png 725w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption class=\"wp-element-caption\">\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u5b9e\u4e60\u751f\u4f55\u7eaa\u8a00<\/figcaption><\/figure>\n\n\n\n<p><strong>\u95ee\uff1a\u5728\u7814\u7a76 DiG \u8fc7\u7a0b\u4e2d\uff0c\u4f60\u6709\u54ea\u4e9b\u79d1\u7814\u7ecf\u9a8c\u5e0c\u671b\u4e0e\u5927\u5bb6\u5206\u4eab?<\/strong><\/p>\n\n\n\n<p><strong>\u7b54\uff1a<\/strong>\u9996\u5148\uff0c\u6211\u66f4\u52a0\u611f\u53d7\u5230\u4e86\u6570\u636e\u7684\u91cd\u8981\u6027\u3002\u6211\u4eec\u77e5\u9053\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\u6709\u4e00\u4e2a\u7ecf\u5178\u7684\u8bf4\u6cd5\u662f\u201c\u5783\u573e\u8fdb\uff0c\u5783\u573e\u51fa\uff08garbage in, garbage out\uff09\u201d\uff0c\u8fd9\u5176\u5b9e\u5728\u5f3a\u8c03\u6570\u636e\u7684\u91cd\u8981\u6027\u3002\u6211\u4eec\u5728 DiG \u7684\u7814\u7a76\u4e2d\u4e5f\u53cd\u590d\u4f53\u4f1a\u5230\u4e86\u8fd9\u4e00\u70b9\u3002\u4e3a\u4e86\u5b9e\u73b0\u5206\u5b50\u4f53\u7cfb\u591a\u6837\u5316\u7684\u7ed3\u6784\u9884\u6d4b\uff0c\u8bad\u7ec3\u6570\u636e\u7684\u6536\u96c6\u3001\u7ec4\u7ec7\u65b9\u5f0f\u90fd\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002\u9664\u4e86\u6765\u6e90\u4e8e\u51b7\u51bb\u7535\u955c\u7b49\u771f\u5b9e\u5b9e\u9a8c\u7684\u9ad8\u6210\u672c\u3001\u9ad8\u8d28\u91cf\u6570\u636e\uff0c\u6211\u4eec\u4e5f\u82b1\u4e86\u975e\u5e38\u5927\u7684\u7cbe\u529b\u7814\u7a76\u5982\u4f55\u5229\u7528\u5408\u6210\u548c\u6a21\u62df\u4f4e\u6210\u672c\u3001\u4f4e\u8d28\u91cf\u6570\u636e\uff0c\u8fd9\u4e9b\u6570\u636e\u7684\u4f7f\u7528\u662f DiG \u80fd\u5c06\u5206\u5e03\u9884\u6d4b\u505a\u597d\u7684\u91cd\u8981\u539f\u56e0\u3002<\/p>\n\n\n\n<p>\u8fd8\u6709\u4e00\u70b9\u6709\u8da3\u7684\u89c2\u5bdf\uff0c\u662f\u5173\u4e8e\u79d1\u5b66\u6a21\u578b\u4e2d\u7684\u5f52\u7eb3\u504f\u7f6e\uff08inductive bias\uff09\u95ee\u9898\u3002\u4e0d\u540c\u4e8e\u56fe\u50cf\u548c\u6587\u672c\u7b49\u9886\u57df\uff0c\u5728\u7269\u7406\u4e16\u754c\u4e2d\uff0c\u8bb8\u591a\u5df2\u77e5\u7684\u89c4\u5f8b\u662f\u4e00\u5b9a\u6ee1\u8db3\u7684\uff0c\u5bf9\u4e8e\u8fd9\u6837\u7684\u504f\u7f6e\uff0c\u6211\u4eec\u5f80\u5f80\u5e0c\u671b\u901a\u8fc7\u6a21\u578b\u548c\u7b97\u6cd5\u8bbe\u8ba1\u4f7f\u5176\u88ab\u5f3a\u5236\u7ea6\u675f\u3002\u4f46\u662f\u5728 DiG \u65e9\u671f\u7684\u4e00\u4e9b\u5b9e\u9a8c\u4e2d\uff0c\u6211\u4eec\u53d1\u73b0\u968f\u7740\u8ba1\u7b97\u91cf\u7684\u7f29\u653e\uff08scaling\uff09\uff0c\u4e09\u7ef4\u7ed3\u6784\u7684\u7b49\u53d8\u6027\uff08equivariant\uff09\u8fd9\u6837\u7684\u504f\u7f6e\u4e0d\u9700\u8981\u4eba\u4e3a\u8bbe\u8ba1\uff0c\u5c31\u80fd\u88ab\u6a21\u578b\u81ea\u52a8\u5b66\u4e60\u5230\u5e76\u4e14\u51e0\u4e4e\u4e0d\u5f71\u54cd\u6700\u7ec8\u6027\u80fd\u3002\u8fd9\u4e0e AlphaFold 2 \u548c AlphaFold 3 \u8bba\u6587\u4e2d\u7684\u4e00\u4e9b\u89c2\u5bdf\u548c\u6d88\u878d\u5b9e\u9a8c\u4e5f\u6709\u76f8\u4f3c\u6027\u3002\u8fd9\u542f\u53d1\u6211\u4eec\u5e94\u8be5\u8fdb\u4e00\u6b65\u601d\u8003\u7f29\u653e\u548c\u504f\u7f6e\u7684\u5173\u7cfb\uff0c\u5728\u672a\u6765\u7684\u6a21\u578b\u548c\u7b97\u6cd5\u4e2d\u627e\u5230\u66f4\u597d\u7684\u8bbe\u8ba1\uff0c\u6700\u7ec8\u63d0\u9ad8\u4efb\u52a1\u6027\u80fd\u3002<\/p>\n\n\n\n<p><strong>\u95ee\uff1a\u6b64\u6b21\u7814\u7a76\u5de5\u4f5c\u80cc\u540e\uff0c\u4f60\u6700\u5927\u7684\u611f\u89e6\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n\n\n\n<p><strong>\u7b54\uff1a<\/strong>\u6211\u89c9\u5f97\uff0c\u591a\u5b66\u79d1\u7684\u56e2\u961f\u5408\u4f5c\u662f\u4fc3\u6210 DiG \u6210\u529f\u7684\u6838\u5fc3\u3002\u5728\u79d1\u5b66\u63a2\u7d22\u4e0e\u4eba\u5de5\u667a\u80fd\u8fd9\u4e00\u4ea4\u53c9\u9886\u57df\uff0c\u4f5c\u4e3a\u4eba\u5de5\u667a\u80fd\u80cc\u666f\u7684\u7814\u7a76\u8005\uff0c\u6211\u548c\u7ec4\u91cc\u751f\u7269\u5b66\u3001\u7269\u7406\u5b66\u3001\u6750\u6599\u5b66\u7b49\u4e0d\u540c\u80cc\u666f\u7684\u8001\u5e08\u3001\u540c\u5b66\u4eec\u6df1\u5ea6\u4ea4\u6d41\u5408\u4f5c\uff0c\u8fd9\u4e00\u8fc7\u7a0b\u4e0d\u4ec5\u8ba9\u6211\u5b66\u5230\u4e86\u975e\u5e38\u591a\u7684\u77e5\u8bc6\uff0c\u901a\u8fc7\u4e0d\u540c\u9886\u57df\u7684\u706b\u82b1\u78b0\u649e\u6211\u4eec\u8fd8\u80fd\u4e00\u8d77\u63a2\u7d22\u51fa\u771f\u6b63\u6709\u4ef7\u503c\u7684\u79d1\u5b66\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u521b\u65b0\u3001\u6709\u6548\u7684\u89e3\u51b3\u65b9\u6848\u3002\u501f\u6b64\u673a\u4f1a\uff0c\u6211\u4e5f\u60f3\u5411\u5b9e\u4e60\u671f\u95f4\u4e3a\u6211\u7684\u79d1\u7814\u4e4b\u8def\u63d0\u4f9b\u8fc7\u5e2e\u52a9\u7684\u8001\u5e08\u548c\u540c\u5b66\u4eec\u8868\u8fbe\u8877\u5fc3\u7684\u611f\u8c22\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f5c\u8005\uff1a\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3 \u7f16\u8005\u6309\uff1a\u5c3d\u7ba1\u5f53\u524d\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6280\u672f\u9884\u6d4b\u751f\u7269\u5206\u5b50\u7ed3\u6784\u7684\u6a21\u578b\u5df2\u7ecf\u53ef\u4ee5\u7cbe\u786e\u9884\u6d4b\u5305\u62ec\u86cb\u767d\u8d28\u3001\u6838\u9178\u3001\u5c0f\u5206\u5b50\u3001\u79bb\u5b50\u548c\u4fee\u9970\u6b8b\u57fa\u5728\u5185\u7684\u590d\u5408\u7269\u7ed3\u6784\uff0c\u4f46\u5bf9\u4e8e\u79d1\u5b66\u5bb6\u4eec\u6765\u8bf4\u4ec5\u4e86\u89e3\u5206\u5b50\u7684\u5fae\u89c2\u7ed3\u6784\u8fd8\u8fdc\u8fdc\u4e0d\u591f\uff0c\u56e0\u4e3a\u5206\u5b50\u7684\u5b8f\u89c2\u5c5e\u6027\u548c\u529f\u80fd\u5f80\u5f80\u53d6\u51b3\u4e8e\u5206\u5b50\u7ed3\u6784\u5728\u5e73\u8861\u6001\u4e0b\u7684\u5206\u5e03\u3002 \u7528\u4e8e\u5206\u5b50\u7ed3\u6784\u5e73\u8861\u5206\u5e03\u9884\u6d4b\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6 Distributional Graphormer\uff08DiG\uff09\u7684\u6700\u65b0\u8bba\u6587\uff0c\u8fd1\u671f\u5728\u300a\u81ea\u7136-\u673a\u5668\u667a\u80fd\u300b\uff08Nature Machine Intelligence\uff09\u6742\u5fd7\u4e0a\u53d1\u8868\u3002DiG \u5b9e\u73b0\u4e86\u5bf9\u5206\u5b50\u52a8\u6001\u7edf\u8ba1\u7279\u6027\u8fdb\u884c\u7aef\u5230\u7aef\u7684\u5efa\u6a21\uff0c\u5728\u7269\u8d28\u7684\u5fae\u89c2\u5206\u5b50\u7ed3\u6784\u548c\u5b8f\u89c2\u7269\u5316\u5c5e\u6027\u4e4b\u95f4\u5efa\u7acb\u4e86\u8fde\u63a5\u7684\u6865\u6881\u3002 \u4e3a\u4e86\u8fdb\u4e00\u6b65\u4e86\u89e3 DiG \u8fd9\u4e00 AI \u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784\u7684\u6700\u65b0\u65b9\u6cd5\u548c\u5176\u80cc\u540e\u7684\u7814\u7a76\u7ecf\u5386\uff0c\u6211\u4eec\u4e0e\u8bba\u6587\u7684\u5171\u540c\u4e00\u4f5c\u3001\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u5b9e\u4e60\u751f\u4f55\u7eaa\u8a00\u4e00\u8d77\u804a\u4e86\u804a\u3002 \u86cb\u767d\u8d28\u662f\u751f\u547d\u7684\u672c\u8d28\uff0c\u7406\u89e3\u86cb\u767d\u8d28\u5206\u5b50\u7684\u529f\u80fd\u5bf9\u751f\u7269\u7814\u7a76\u81f3\u5173\u91cd\u8981\u3002\u800c\u201c\u7ed3\u6784\u51b3\u5b9a\u529f\u80fd\u201d\uff0c\u56e0\u6b64\u751f\u7269\u5b66\u5bb6\u5f80\u5f80\u4f7f\u7528\u51b7\u51bb\u7535\u955c\u7b49\u624b\u6bb5\u89c2\u5bdf\u86cb\u767d\u8d28\u5206\u5b50\u7684\u7ed3\u6784\u3002\u968f\u7740\u4eba\u5de5\u667a\u80fd\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u5982\u4eca\u4eba\u4eec\u5df2\u7ecf\u53ef\u4ee5\u5229\u7528\u6700\u5148\u8fdb\u7684 AI \u6280\u672f\u6765\u9884\u6d4b\u86cb\u767d\u8d28\u5206\u5b50\u7ed3\u6784\uff0c\u4ee5\u514d\u53bb\u51b7\u51bb\u7535\u955c\u6602\u8d35\u800c\u53c8\u8017\u65f6\u7684\u8fc7\u7a0b\u3002 \u7136\u800c\uff0c\u86cb\u767d\u8d28\u5e76\u4e0d\u662f\u9759\u6b62\u4e0d\u52a8\u7684\u521a\u4f53\uff0c\u5b83\u4eec\u65e0\u65f6\u65e0\u523b\u4e0d\u5728\u8fd0\u52a8\u5e76\u6709\u4e00\u5b9a\u6982\u7387\u53d8\u6362\u81ea\u5df1\u7684\u7ed3\u6784\u3002\u4e0d\u7ba1\u662f\u51b7\u51bb\u7535\u955c\u8fd8\u662f\u7ed3\u6784\u9884\u6d4b\u7b97\u6cd5\uff0c\u90fd\u53ea\u80fd\u5f97\u5230\u86cb\u767d\u8d28\u7684\u9759\u6001\u7ed3\u6784\uff0c\u8fd9\u5c31\u597d\u6bd4\u7528\u76f8\u673a\u6293\u62cd\u5b69\u5b50\u5954\u8dd1\u7684\u573a\u666f\uff0c\u4f60\u5f97\u5230\u7684\u53ea\u662f\u5b69\u5b50\u67d0\u4e00\u77ac\u95f4\u7684\u9759\u6001\u5f62\u6001\u3002\u8fd9\u5f20\u9759\u6001\u7684\u201c\u7167\u7247\u201d\u5bf9\u4e8e\u7406\u89e3\u86cb\u767d\u8d28\u5b8c\u6574\u7684\u529f\u80fd\u8fdc\u8fdc\u4e0d\u591f\uff0c\u79d1\u5b66\u5bb6\u4eec\u9700\u8981\u7684\u662f\u638c\u63e1\u86cb\u767d\u7ed3\u6784\u7684\u5206\u5e03\u6765\u7406\u89e3\u5176\u529f\u80fd\u5e76\u63a8\u65ad\u51fa\u91cd\u8981\u7684\u5b8f\u89c2\u6027\u8d28\u3002 \u4f8b\u5982\uff0c\u65b0\u51a0\u75c5\u6bd2 Omicron \u7684\u53d8\u79cd\u56e0\u5176\u6781\u5f3a\u7684\u611f\u67d3\u6027\u5728\u4f17\u591a\u53d8\u79cd\u4e2d\u683c\u5916\u7a81\u51fa\u3002\u4f46\u8fd9\u79cd\u4f20\u67d3\u6027\u7684\u589e\u5f3a\u4ec5\u4ec5\u662f\u56e0\u4e3a\u5728\u65b0\u51a0\u75c5\u6bd2\u7528\u4e8e\u611f\u67d3\u4eba\u4f53\u7684\u523a\u7a81\u86cb\u767d\u4e0a\u670930\u4f59\u4e2a\u4f4d\u7f6e\u7684\u7a81\u53d8\u3002\u8fd9\u4e9b\u7a81\u53d8\u5e76\u4e0d\u4f1a\u663e\u8457\u5f71\u54cd\u5230\u523a\u7a81\u86cb\u767d\u7684\u7ed3\u6784\uff0c\u56e0\u6b64\u4e0d\u7ba1\u4f7f\u7528\u51b7\u51bb\u7535\u955c\u8fd8\u662f\u6700\u65b0\u7684\u7ed3\u6784\u9884\u6d4b\u7b97\u6cd5\u90fd\u65e0\u6cd5\u89e3\u91ca\u5176\u4e3a\u4f55\u611f\u67d3\u6027\u53d8\u5f3a\u3002\u53ef\u662f\u5982\u679c\u6211\u4eec\u77e5\u9053\u53d8\u5f02\u540e\u523a\u7a81\u86cb\u767d\u7ed3\u6784\u7684\u5206\u5e03\uff0c\u90a3\u4e48\u5c31\u4f1a\u53d1\u73b0\u5176\u4e0d\u540c\u7ed3\u6784\u51fa\u73b0\u7684\u6982\u7387\u53d1\u751f\u4e86\u53d8\u5316\u2014\u2014\u7a81\u53d8\u5bfc\u81f4\u4fb5\u67d3\u4eba\u4f53\u7684\u7ed3\u6784\u6982\u7387\u5927\u5927\u589e\u52a0\uff0c\u4e5f\u5c31\u89e3\u91ca\u4e86 Omicron \u53d8\u79cd\u5f3a\u611f\u67d3\u6027\u7684\u539f\u56e0\u3002 \u7531\u6b64\u53ef\u89c1\uff0c\u5206\u5e03\u9884\u6d4b\u5bf9\u4e8e\u7406\u89e3\u86cb\u767d\u8d28\u5206\u5b50\u7684\u91cd\u8981\u6027\uff0c\u800c\u8fd9\u4e5f\u662f\u56f0\u6270\u79d1\u5b66\u5bb6\u4eec\u6570\u5341\u5e74\u7684\u96be\u9898\u3002\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u4e8e2023\u5e74\u53d1\u5e03\u4e86\u53ef\u7528\u4e8e\u9884\u6d4b\u5206\u5b50\u7ed3\u6784\u5e73\u8861\u5206\u5e03\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6 Distributional Graphormer \uff08DIG\uff09\uff0c\u65e8\u5728\u4f7f\u7528\u6700\u5148\u8fdb\u7684\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u89e3\u51b3\u5206\u5b50\u7cfb\u7edf\u7684\u5206\u5e03\u9884\u6d4b\u95ee\u9898\u3002\u901a\u8fc7\u63d0\u4f9b\u4e00\u79cd\u5728\u7edf\u8ba1\u4e0a\u7406\u89e3\u5206\u5b50\u7cfb\u7edf\u7684\u5b9e\u8d28\u6027\u65b9\u6cd5\uff0cDiG \u4e3a\u5206\u5b50\u79d1\u5b66\u9886\u57df\u7684\u7814\u7a76\u5f00\u8f9f\u4e86\u65b0\u7684\u673a\u9047\u3002\u76f8\u5173\u8bba\u6587\u5df2\u4e8e\u8fd1\u671f\u53d1\u8868\u5728\u4e86\u300a\u81ea\u7136-\u673a\u5668\u667a\u80fd\u300b\uff08Nature Machine Intelligence\uff09\u6742\u5fd7\u4e0a\u3002 DiG \u6700\u65b0\u8bba\u6587\uff1aPredicting equilibrium distributions for molecular systems with deep learning https:\/\/www.nature.com\/articles\/s42256-024-00837-3 (opens in new tab) DiG demo \u9875\u9762\uff1ahttps:\/\/distributionalgraphormer.github.io\/ (opens in new tab) \u4e0b\u9762\uff0c\u8ba9\u6211\u4eec\u901a\u8fc7\u4e0e\u8bba\u6587\u5171\u540c\u4e00\u4f5c\u3001\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\u5b9e\u4e60\u751f\u4f55\u7eaa\u8a00\u7684\u5bf9\u8bdd\uff0c\u4e00\u8d77\u6765\u4e86\u89e3 DiG \u80cc\u540e\u7684\u6545\u4e8b\u3002 \u95ee\uff1a\u8bf7\u4ecb\u7ecd\u4e00\u4e0b\u5206\u5b50\u7ed3\u6784\u9884\u6d4b\u9886\u57df\u7684\u73b0\u72b6\u53ca [&hellip;]<\/p>\n","protected":false},"author":42735,"featured_media":1076709,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-content-parent":1012650,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-locale":[268881],"msr-post-option":[],"class_list":["post-1073925","msr-blog-post","type-msr-blog-post","status-publish","has-post-thumbnail","hentry","msr-locale-zh_cn"],"msr_assoc_parent":{"id":1012650,"type":"lab"},"_links":{"self":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1073925","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post"}],"about":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-blog-post"}],"author":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/users\/42735"}],"version-history":[{"count":3,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1073925\/revisions"}],"predecessor-version":[{"id":1076712,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1073925\/revisions\/1076712"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media\/1076709"}],"wp:attachment":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1073925"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1073925"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1073925"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1073925"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}