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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Zhenxin Li, Yong Han, Zhenyu Xu, Zhihao Zhang, Zhixian Sun, Ge Chen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-06-01
Serie:	ISPRS International Journal of Geo-Information
Soggetti:	deep learning traffic forecasting graph convolution network spatiotemporal dependencies
Accesso online:	https://www.mdpi.com/2220-9964/12/6/241
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!