SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching

Liren Yu, Jiaming Xu, Xiaojun Lin

Abstract: There is a growing interest in designing Graph Neural Networks (GNNs) for seeded graph matching, which aims to match two unlabeled graphs using only topological information and a small set of seed ...