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Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation

The 3DGCN model predicts molecular properties and biochemical activities based on 3D molecular graph.

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Cite this as

Hyeoncheol Cho, Insung S. Choi (2024). Dataset: Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation. https://doi.org/10.57702/t00s78f0

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1002/cmdc.201900458
Author	Hyeoncheol Cho
More Authors	Insung S. Choi