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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.

Data and Resources

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

DOI retrieved: December 3, 2024

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