Hierarchical Graph Pooling with Structure Learning

Zhen Zhang
Zhen Zhang
Jianfeng Zhang
Jianfeng Zhang
Chengwei Yao
Chengwei Yao
Zhi Yu
Zhi Yu

national conference on artificial intelligence, 2020.

Cited by: 5|Bibtex|Views120
Other Links: academic.microsoft.com|arxiv.org

Abstract:

Graph Neural Networks (GNNs), which generalize deep neural networks to graph-structured data, have drawn considerable attention and achieved state-of-the-art performance in numerous graph related tasks. However, existing GNN models mainly focus on designing graph convolution operations. The graph pooling (or downsampling) operations, th...More

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