GNNExplainer

GNNExplainer is a tool used to interpret how Graph Neural Networks (GNNs) make their decisions. It identifies the most important parts of a graph—such as specific nodes or connections—that influence the model's output. By highlighting these critical areas, GNNExplainer helps users understand why the model predicts certain results, making the often "black-box" nature of GNNs more transparent. This insight is valuable for validating the model's reasoning, troubleshooting, and gaining trust in its decisions, especially in complex applications like social networks, molecules, or recommendations.