Multi-mode dynamic residual graph convolution network for traffic flow prediction

被引：0
|
作者：
Huang, Xiaohui [1 ]
Ye, Yuming [1 ]
Ding, Weihua [1 ]
Yang, Xiaofei [2 ]
Xiong, Liyan [1 ]
机构：
[1] Department of Information Engineering, East China Jiaotong University, Jiangxi, China
[2] Faculty of Science and Technology, University of Macau, Macau, China
来源：
Information Sciences | 2022年 / 609卷
基金：
中国国家自然科学基金;
关键词：
Dynamic graph - Graph convolution network - Mode dynamics - Multi-mode fusion - Multimodes - Spatio-temporal data - Traffic flow - Traffic flow prediction - Urban development - Urban traffic congestion;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：548 / 564
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