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Distance-Geometric Graph Convolutional Network (DG-GCN) for Three-Dimensional (3D) Graphs

Distance-geometric graph representation for 3D graphs, utilizing continuous-filter convolutional layers with filter-generating networks.

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Cite this as

Daniel T. Chang (2024). Dataset: Distance-Geometric Graph Convolutional Network (DG-GCN) for Three-Dimensional (3D) Graphs. https://doi.org/10.57702/p59lxqnt

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2007.03513
Author	Daniel T. Chang
Homepage	https://arxiv.org/abs/2006.01785