April 21, 2024 In Unkategorisiert
Connectivity optimized nested line graph networks for crystal constructions
Digital Discovery, 2024, Advance Article
DOI: 10.1039/D4DD00018H, Paper
DOI: 10.1039/D4DD00018H, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Robin Ruff, Patrick Reiser, Jan Stühmer, Pascal Friederich
Graph neural networks (GNNs) have been applied to a large variety of applications in materials science and chemistry. We report a nested line-graph neural network achieving state-of-the-art performance in multiple benchmarks.
To cite this article before page numbers are assigned, use the DOI form of citation above.
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Graph neural networks (GNNs) have been applied to a large variety of applications in materials science and chemistry. We report a nested line-graph neural network achieving state-of-the-art performance in multiple benchmarks.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
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