Jianyuan Bo

Contrastive General Graph Matching with Adaptive Augmentation Sampling

Graph matching has important applications in pattern recognition and beyond. Current approaches predominantly adopt supervised learning, demanding extensive labeled data which can be limited or costly. Meanwhile, self-supervised learning methods for graph matching often require additional side infor…