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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Bibliographic Details

Published in:	ISPRS International Journal of Geo-Information
Main Authors:	Zhenxin Li, Yong Han, Zhenyu Xu, Zhihao Zhang, Zhixian Sun, Ge Chen
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Subjects:	deep learning traffic forecasting graph convolution network spatiotemporal dependencies
Online Access:	https://www.mdpi.com/2220-9964/12/6/241