Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks
Summary
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks is a scholarly article[1].
Key Facts
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-2d-molecular-graph-pretraining-for-improved-3d-conformer-generation-with-graph-neural-networks
MLA“Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-2d-molecular-graph-pretraining-for-improved-3d-conformer-generation-with-graph-neural-networks.
BibTeX@misc{4ortxyz_leveraging-2d-molecular-graph-pretraining-for-improved-3d-conformer-generation-with-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-2d-molecular-graph-pretraining-for-improved-3d-conformer-generation-with-graph-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks — https://4ort.xyz/entity/leveraging-2d-molecular-graph-pretraining-for-improved-3d-conformer-generation-with-graph-neural-networks (retrieved 2026-05-24)