Canlin Yang

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Unsupervised graph alignment aims to find corresponding nodes across different graphs without supervision. Existing methods usually leverage the graph structure to aggregate features of nodes to find relations between nodes. However, the graph structure is …