This repository aggregates survey papers and research papers focused on explaining Graph Neural Network predictions. It catalogs approaches including GNN explanations, counterfactual explanations, trustworthy graph learning, and evaluation metrics for explainability. The list is organized by survey papers and platforms like PyTorch Geometric that support GNN explanation capabilities.