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06/26/2023
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Recent advances in graph neural networks (GNNs) have allowed molecular s...
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03/08/2023
Ewald-based Long-Range Message Passing for Molecular Graphs
Neural architectures that learn potential energy surfaces from molecular...
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02/06/2023
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
In tasks like node classification, image segmentation, and named-entity ...
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12/18/2022
Influence-Based Mini-Batching for Graph Neural Networks
Using graph neural networks for large graphs is challenging since there ...
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04/06/2022
