Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Graph pooling is an essential component of the architecture for many graph-level tasks, such as graph classification and graph generation.

Data and Resources

Cite this as

Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao (2024). Dataset: Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. https://doi.org/10.57702/9jivx18s

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.2204.07321
Author Chuang Liu
More Authors
Yibing Zhan
Jia Wu
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
Homepage https://ogb.stanford.edu/docs/graphprop/