Geometry-Complete Perceptron Networks for 3D Molecular Graphs

4 November 2022

Papers citing "Geometry-Complete Perceptron Networks for 3D Molecular Graphs"

9 / 9 papers shown

Title
Evaluating representation learning on the protein structure universe Arian R. Jamasb Alex Morehead Chaitanya K. Joshi Zuobai Zhang Kieran Didi ... Charles Harris Jian Tang Jianlin Cheng Pietro Lio Tom L. Blundell SSL 29 12 0 19 Jun 2024
PiFold: Toward effective and efficient protein inverse folding Zhangyang Gao Cheng Tan Pablo Chacón Stan Z. Li AI4CE 59 104 0 22 Sep 2022
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures Alex Morehead Xiao Chen Tianqi Wu Jian Liu Jianlin Cheng 29 7 0 20 May 2022
Geometric Transformers for Protein Interface Contact Prediction Alex Morehead Chen Chen Jianlin Cheng 29 28 0 06 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 188 1,218 0 08 Jan 2021
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 105 158 0 28 Nov 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016