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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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Electronic Research Archive
المؤلفون الرئيسيون:	Ruxin Xue, Jinggui Huang, Zaitang Huang, Bingyan Li
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	AIMS Press 2025-04-01
الموضوعات:	spatio-temporal graph modeling latent edges spatio-temporal prediction graph structure reconstruction differential equations
الوصول للمادة أونلاين:	https://www.aimspress.com/article/doi/10.3934/era.2025113