AI RESEARCH
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
arXiv CS.LG
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ArXi:2605.17285v1 Announce Type: new Node representation learning, such as Graph Neural Networks (GNNs), has emerged as a pivotal method in machine learning. The demand for reliable explanation generation surges, yet unsupervised models remain underexplored. To bridge this gap, we