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Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system. Existing approaches mostly capture the spatial dependency on a fixed graph structure, assuming that the underlying relation between entities is pre-determined.

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Cite this as

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang (2024). Dataset: Graph WaveNet for Deep Spatial-Temporal Graph Modeling. https://doi.org/10.57702/hdxls86m

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Zonghan Wu
More Authors	Shirui Pan Guodong Long Jing Jiang Chengqi Zhang
Homepage	https://github.com/nnzhan/Graph-WaveNet