Generative Causal Explanations for Graph Neural NetworksDownload PDFOpen Website

2021 (modified: 18 Nov 2022)ICML 2021Readers: Everyone
Abstract: This paper presents {\em Gem}, a model-agnostic approach for providing interpretable explanations for any GNNs on various graph learning tasks. Specifically, we formulate the problem of providing e...
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