Learning Harmonic Molecular Representations on Riemannian Manifold

Learning Harmonic Molecular Representations on Riemannian Manifold

27 March 2023

Yuning Shen

Papers citing "Learning Harmonic Molecular Representations on Riemannian Manifold"

6 / 6 papers shown

Title
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 24 3 0 28 Sep 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 136 618 0 21 Jul 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 107 93 0 16 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 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