Traffic Flow Prediction Model Based on Dual Prior-adaptive Graph Neural ODE Network

Accurate traffic flow prediction is an indispensable part of intelligent transportation system.In recent years,graph neural networks have generated effective results in traffic flow prediction tasks.However,the information transfer of graph neural network is discontinuous latent state propagation,an...

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Autor principal:	YUAN Rong, PENG Lilan, LI Tianrui, LI Chongshou
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Editorial office of Computer Science 2024-04-01
Colecção:	Jisuanji kexue
Assuntos:	traffic forecasting|prior adaptive graph|graph convolutional network|neural ordinary differential equations|tensor multiplication
Acesso em linha:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-4-151.pdf
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