TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
Published in 42nd International Conference on Machine Learning (ICML), 2025
A topologically interpretable GNN with a novel topological discrepancy loss is proved to be uniquely optimized by ground truth.