18 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
Danilo Numeroso, Davide Bacciu
Explainable AI (XAI) is a research area whose objective is to increase trustworthiness and to enlighten the hidden mechanism of opaque machine learning techniques. This becomes inc…
q-bio.QM2020★ 18 cited
Explaining Deep Graph Networks with Molecular Counterfactuals
Danilo Numeroso, Davide Bacciu
We present a novel approach to tackle explainability of deep graph networks in the context of molecule property prediction tasks, named MEG (Molecular Explanation Generator). We ge…