Improving the interpretability of GNN predictions through conformal-based graph sparsification

Pablo Sanchez-Martin, Kinaan Aamir Khan, Isabel Valera

Graph Neural Networks (GNNs) have achieved state-of-the-art performance in solving graph classification tasks. However, most GNN architectures aggregate information from all nodes…