Dataset Groups Activity Stream Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation The 3DGCN model predicts molecular properties and biochemical activities based on 3D molecular graph. BibTex: @dataset{Hyeoncheol_Cho_and_Insung_S_Choi_2024, abstract = {The 3DGCN model predicts molecular properties and biochemical activities based on 3D molecular graph.}, author = {Hyeoncheol Cho and Insung S. Choi}, doi = {10.57702/t00s78f0}, institution = {No Organization}, keyword = {'3DGCN', 'biochemical activity prediction', 'molecular graph', 'molecular property prediction'}, month = {dec}, publisher = {TIB}, title = {Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation}, url = {https://service.tib.eu/ldmservice/dataset/three-dimensionally-embedded-graph-convolutional-network--3dgcn--for-molecule-interpretation}, year = {2024} }
