2 citations · 3 across the 3 of their papers we have counts for
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cs.LG2022★ 1 cited
Domain-informed graph neural networks: a quantum chemistry case study
Jay Morgan, Adeline Paiement, Christian Klinke
We explore different strategies to integrate prior domain knowledge into the design of a deep neural network (DNN). We focus on graph neural networks (GNN), with a use case of esti…
cs.LG2021★ 2 cited
Adaptive Neighbourhoods for the Discovery of Adversarial Examples
Jay Morgan, Adeline Paiement, Arno Pauly +1
Deep Neural Networks (DNNs) have often supplied state-of-the-art results in pattern recognition tasks. Despite their advances, however, the existence of adversarial examples have c…