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20202023
most citedImproving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity

5 citations · 9 across the 4 of their papers we have counts for

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cs.LG2022

Explaining, Evaluating and Enhancing Neural Networks' Learned Representations

Marco Bertolini, Djork-Arné Clevert, Floriane Montanari

Most efforts in interpretability in deep learning have focused on (1) extracting explanations of a specific downstream task in relation to the input features and (2) imposing const…