UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models

In three linesUNR-Explainer generates counterfactual explanations for unsupervised node representation learning models (GNNs). The method identifies critical subgraphs that alter k-nearest neighbors of a node in embedding space using Monte Carlo Tree Search (MCTS). Evaluated on GraphSAGE and DGI.

Summary generated by Claude — human-verified