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SSHPool: The Separated Subgraph-based Hierarchical Pooling
March 26, 2024, 4:43 a.m. | Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
cs.LG updates on arXiv.org arxiv.org
Abstract: In this paper, we develop a novel local graph pooling method, namely the Separated Subgraph-based Hierarchical Pooling (SSHPool), for graph classification. To this end, we commence by assigning the nodes of a sample graph into different clusters, resulting in a family of separated subgraphs. We individually employ a local graph convolution units as the local structure to further compress each subgraph into a coarsened node, transforming the original graph into a coarsened graph. Since these …
abstract arxiv classification cs.ai cs.lg family graph hierarchical nodes novel paper pooling sample type
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