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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.

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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

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Additional Info

Field	Value
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/