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TF-MVGNN: an accurate traffic forecasting framework based on spatial–temporal graph neural network through exploiting multiple-view graph construction and learning

Crossref DOI link: https://doi.org/10.1007/s00521-024-10508-4

Published Online: 2024-12-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cheng, Haoyuan

Wang, Yufeng https://orcid.org/0000-0003-0448-325X
Ma, Jianhua

Jin, Qun
Funding

Funding for this research was provided by:

Jiangsu Provincial Key Research and Development Program (BE2020084-1)
License Information

Text and Data Mining valid from 2024-12-02

Version of Record valid from 2024-12-02
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Article History

Received: 31 March 2024

Accepted: 30 September 2024

First Online: 2 December 2024

Declarations

:

: The authors declare that they have no knowncompeting financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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