49 citations · 95 across the 10 of their papers we have counts for
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cs.LG2022★ 49 cited
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Antonio Longa, Steve Azzolin, Gabriele Santin +4
Following a fast initial breakthrough in graph based learning, Graph Neural Networks (GNNs) have reached a widespread application in many science and engineering fields, prompting…
cs.LG2022★ 3 cited
A Framework for Verifiable and Auditable Federated Anomaly Detection
Gabriele Santin, Inna Skarbovsky, Fabiana Fournier +1
Federated Leaning is an emerging approach to manage cooperation between a group of agents for the solution of Machine Learning tasks, with the goal of improving each agent's perfor…