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cs.LG2026
From Abductive Explanations to Global Logical Rules for Node Classification in SGCs
Bryan Lima Cavalcante, Thiago Alves Rocha
Graph Neural Networks (GNNs) have achieved remarkable performance in node classification tasks, motivating growing interest in methods capable of explaining their predictions. Rece…
cs.LG2024
An Incremental MaxSAT-based Model to Learn Interpretable and Balanced Classification Rules
Antônio Carlos Souza Ferreira Júnior, Thiago Alves Rocha
The increasing advancements in the field of machine learning have led to the development of numerous applications that effectively address a wide range of problems with accurate pr…