What AI says about GNNExplainer

gnn-model-explainer is an open-source implementation of the GNNExplainer method for explaining graph neural networks. It provides code and utilities to generate explanations by identifying important subgraphs and node features that drive a model's predictions, as described in the NeurIPS 2019 paper GNNExplainer. The repository includes training and explanation scripts (e.g., explain_pyg.py, models_pyg.py) and targets researchers and developers who want interpretable graph-based models.