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cs.LG2025
CFIRE: A General Method for Combining Local Explanations
Sebastian Müller, Vanessa Toborek, Tamás Horváth +1
We propose a novel eXplainable AI algorithm to compute faithful, easy-to-understand, and complete global decision rules from local explanations for tabular data by combining XAI me…
cs.LG2024★ 1 cited
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations
Harish G. Naik, Jan Polster, Raj Shekhar +2
We formulate an XAI-based model improvement approach for Graph Neural Networks (GNNs) for node classification, called Explanation Enhanced Graph Learning (EEGL). The goal is to imp…