2 papers
cs.LG2026
Towards Effective and Efficient Graph Alignment without Supervision
Songyang Chen, Youfang Lin, Yu Liu +2
Unsupervised graph alignment aims to find the node correspondence across different graphs without any anchor node pairs. Despite the recent efforts utilizing deep learning-based te…
cs.LG2025
CombAlign: Enhancing Model Expressiveness in Unsupervised Graph Alignment
Songyang Chen, Yu Liu, Lei Zou +2
Unsupervised graph alignment finds the node correspondence between a pair of attributed graphs by only exploiting graph structure and node features. One category of recent studies…