Explainable Classification of Brain Networks via Contrast Subgraphs
Explainable Classification of Brain Networks via Contrast Subgraphs
Mining human-brain networks to discover patterns that can be used to discriminate between healthy individuals and patients affected by some neurological disorder, is a fundamental task in neuro-science. Learning simple and interpretable models is as important as mere classification accuracy. In this paper we introduce a novel approach for classifying …