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20222025
most citedHeterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference

11 citations · 40 across the 14 of their papers we have counts for

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cs.LG2022★ 3 cited

Formalising the Robustness of Counterfactual Explanations for Neural Networks

Junqi Jiang, Francesco Leofante, Antonio Rago +1

The use of counterfactual explanations (CFXs) is an increasingly popular explanation strategy for machine learning models. However, recent studies have shown that these explanation…