Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Multivariate Time-Series (MTS) data is crucial in various application fields. With its sequential and multi-source (multiple sensors) properties, MTS data inherently exhibits Spatial-Temporal (ST) dependencies, involving temporal correlations between timestamps and spatial correlations between sensors in each timestamp.

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Cite this as

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen (2024). Dataset: Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. https://doi.org/10.57702/f0wwxdpw

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2309.05305
Author Yucheng Wang
More Authors
Yuecong Xu
Jianfei Yang
Min Wu
Xiaoli Li
Lihua Xie
Zhenghua Chen
Homepage https://github.com/Frank-Wang-oss/FCSTGNN