Reconstructed graph spatio-temporal stochastic controlled differential equation for traffic flow forecasting

Spatio-temporal graph data have been widely applied in traffic flow prediction tasks. Traditional methods often combine graph convolutional networks with recurrent neural networks based on the original graph structure. However, these methods typically struggle with issues such as incomplete sensor d...

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Bibliographic Details

Published in:	Electronic Research Archive
Main Authors:	Ruxin Xue, Jinggui Huang, Zaitang Huang, Bingyan Li
Format:	Article
Language:	English
Published:	AIMS Press 2025-04-01
Subjects:	spatio-temporal graph modeling latent edges spatio-temporal prediction graph structure reconstruction differential equations
Online Access:	https://www.aimspress.com/article/doi/10.3934/era.2025113