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20182022
most citedMolNet: A Chemically Intuitive Graph Neural Network for Prediction of Molecular Properties

3 citations · 4 across the 2 of their papers we have counts for

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cs.LG2018

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

Hyeoncheol Cho, Insung S. Choi

We present a three-dimensional graph convolutional network (3DGCN), which predicts molecular properties and biochemical activities, based on 3D molecular graph. In the 3DGCN, graph…