{"id":2867,"date":"2025-04-14T21:35:04","date_gmt":"2025-04-14T13:35:04","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=2867"},"modified":"2025-04-14T21:35:04","modified_gmt":"2025-04-14T13:35:04","slug":"202504%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-learning-dynamics-of-multi-level-spatiotemporal-graph-data-for-traffic-flow-prediction","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202504%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-learning-dynamics-of-multi-level-spatiotemporal-graph-data-for-traffic-flow-prediction\/","title":{"rendered":"202504\u8bba\u6587\u7814\u8bfb-Learning dynamics of multi-level spatiotemporal graph data for traffic flow prediction"},"content":{"rendered":"\n

\u4f5c\u8005\uff1aZhongbing Li , Yuli Wei , Guihui Chen , Kai Lu , Xinyu Zheng<\/p>\n\n\n\n

\u53d1\u8868\u671f\u520a\uff1aComputer Communications<\/p>\n\n\n\n

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