ICML-On Explainability of Graph Neural Networks via Subgraph Explorations

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On Explainability of Graph Neural Networks via Subgraph Explorations

               Hao Yuan 1 Haiyang Yu 1 Jie Wang 2 Kang Li 3 Shuiwang Ji 1

             Abstract                2018; Wang et al., 2019), and graph pooling (Yuan & Ji,
    We consider the problem of explaining the pre-      2020; Gao & Ji, 2019; Zhang et al., 2018). However, these
    dictions of graph neural networks (GNNs), which      models are still treated as black boxes, and their predictions
    otherwise are considered ...

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关键词：Explorations Exploration Networks network Ability