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Xianwei Guo1, Zhiyong Yu1, Fangwan Huang1
1College of Computer and Data Science, Fuzhou University, WuLong Jiang North Avenue, University Town, Fuzhou, 350108, China; Engineering Research Center of Big Data Intelligence, Ministry of Education, Fuzhou University, WuLong Jiang North Avenue, University Town, Fuzhou, 350108, China.
本研究引入了一个新的动态元图卷积循环网络 (DMetaGCRN) 用于时空图 (STG) 预测. 该框架解决了城市计算中的动态空间依赖性和数据异质性,优于现有的方法.
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