663 citations · 1.7k across the 24 of their papers we have counts for
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cs.LG2023★ 1 cited
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies
Jonas Teufel, Luca Torresi, Pascal Friederich
Despite the increasing relevance of explainable AI, assessing the quality of explanations remains a challenging issue. Due to the high costs associated with human-subject experimen…
cs.LG2023★ 9 cited
Connectivity Optimized Nested Graph Networks for Crystal Structures
Robin Ruff, Patrick Reiser, Jan Stühmer +1
Graph neural networks (GNNs) have been applied to a large variety of applications in materials science and chemistry. Here, we recapitulate the graph construction for crystalline (…