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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Bibliografiske detaljer

Hovedforfatter:	YUAN Rong, PENG Lilan, LI Tianrui, LI Chongshou
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial office of Computer Science 2024-04-01
Serier:	Jisuanji kexue
Fag:	traffic forecasting|prior adaptive graph|graph convolutional network|neural ordinary differential equations|tensor multiplication
Online adgang:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-4-151.pdf
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