Dataset Groups Activity Stream 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. BibTex: @dataset{Daniel_T_Chang_2024, abstract = {Distance-geometric graph representation for 3D graphs, utilizing continuous-filter convolutional layers with filter-generating networks.}, author = {Daniel T. Chang}, doi = {10.57702/p59lxqnt}, institution = {No Organization}, keyword = {'3D Graphs', 'Distance Geometry', 'Graph Convolutional Networks'}, month = {dec}, publisher = {TIB}, title = {Distance-Geometric Graph Convolutional Network (DG-GCN) for Three-Dimensional (3D) Graphs}, url = {https://service.tib.eu/ldmservice/dataset/distance-geometric-graph-convolutional-network--dg-gcn--for-three-dimensional--3d--graphs}, year = {2024} }
