NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption

Ziluowen Luo, Jun Yin, Ruochen Liu +4

Post-hoc Graph Neural Network (GNN) explainers commonly follow a Perturb-Query paradigm, inferring the importance of graph elements based on queried predictions to perturbed inputs…