Kang Li

On Explainability of Graph Neural Networks via Subgraph Explorations

2021 · arXiv (Cornell University)

We consider the problem of explaining the predictions of graph neural networks (GNNs), which otherwise are considered as black boxes. Existing methods invariably focus on explaining the importance of graph nodes or edges but ignore …