DyGGAN: Traffic flow prediction based on generative adversarial network and dynamic graph convolution

被引：0
|
作者：
Li, Xiaofeng [1 ]
Li, Songjiang [1 ]
Wang, Peng [1 ]
Zhang, Wenxin [1 ]
机构：
[1] Changchun University of Science and Technology, School of Computer Science and Technology, Changchun, Jilin,130013, China
来源：
2023 5th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2023 | 2023年
关键词：
Dynamics - Flow graphs - Forecasting - Generative adversarial networks - Information management - Traffic control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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页码：216 / 220
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