COMBINEX generates counterfactual explanations for GNNs by jointly perturbing node features and edges, but in practice it mostly modifies features and its experimental claims are contradicted by its own appendix.
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COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations
COMBINEX generates counterfactual explanations for GNNs by jointly perturbing node features and edges, but in practice it mostly modifies features and its experimental claims are contradicted by its own appendix.