Beyond Trained Models: Compiling GNNs for a Sound Explainer Benchmark

Steve Azzolin, Francesco Paolo Nerini, Stefano Teso +4

Explainers for Graph Neural Networks (GNNs) are commonly evaluated by their plausibility, i.e., how well their explanations recover a predefined ground truth, such as a motif plant…