From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning
arXiv:2605.06814v1 Announce Type: new
Abstract: Graph Neural Networks (GNNs) achieve high performance but can be opaque to humans, making it difficult to understand and compare the many proposed architectures. While existing explainability methods att…