2023
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
NeurIPS 2023poster
The widespread deployment of Graph Neural Networks (GNNs) sparks significant interest in their explainability, which plays a vital role in model auditing and ensuring trustworthy graph learning. The objective of GNN explainability is to discern the underlying graph structures that have the most sign…