MFDGCN: Multi-Stage Spatio-Temporal Fusion Diffusion Graph Convolutional Network for Traffic Prediction

Traffic prediction is a popular research topic in the field of Intelligent Transportation System (ITS), as it can allocate resources more reasonably, relieve traffic congestion, and improve road traffic efficiency. Graph neural networks are widely used in traffic prediction because they are good at...

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Autores principales:	Zhengyan Cui, Junjun Zhang, Giseop Noh, Hyun Jun Park
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-03-01
Colección:	Applied Sciences
Materias:	traffic prediction spatio-temporal prediction graph convolutional network temporal convolutional network multi-head attention
Acceso en línea:	https://www.mdpi.com/2076-3417/12/5/2688
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