PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting

Traffic forecasting has always been an important part of intelligent transportation systems. At present, spatiotemporal graph neural networks are widely used to capture spatiotemporal dependencies. However, most spatiotemporal graph neural networks use a single predefined matrix or a single self-gen...

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Hlavní autoři:	Zhenxin Li, Yong Han, Zhenyu Xu, Zhihao Zhang, Zhixian Sun, Ge Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-06-01
Edice:	ISPRS International Journal of Geo-Information
Témata:	deep learning traffic forecasting graph convolution network spatiotemporal dependencies
On-line přístup:	https://www.mdpi.com/2220-9964/12/6/241
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