AI RESEARCH
Towards Effective and Efficient Graph Alignment without Supervision
arXiv CS.LG
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ArXi:2603.08526v1 Announce Type: new 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 techniques, such as the embedding and optimal transport (OT)-based approaches, we observe their limitations in terms of model accuracy-efficiency tradeoff.