Learning Hierarchical Protein Representations via Complete 3D Graph
Networks

Learning Hierarchical Protein Representations via Complete 3D Graph Networks

26 July 2022

Papers citing "Learning Hierarchical Protein Representations via Complete 3D Graph Networks"

10 / 10 papers shown

Title
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation J. Qu Wenhan Gao Jiaxing Zhang Xufeng Liu Hua Wei Haibin Ling Yong-Jin Liu AI4CE 57 0 0 04 May 2025
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 48 12 0 19 Jun 2024
Clustering for Protein Representation Learning Ruijie Quan Wenguan Wang Fan Ma Hehe Fan Yi Yang 29 5 0 30 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 34 20 0 01 Mar 2024
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 39 3 0 28 Sep 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks Weitao Du Yuanqi Du Limei Wang Dieqiao Feng Guifeng Wang Shuiwang Ji Carla P. Gomes Zhixin Ma AI4CE 32 33 0 07 Apr 2023
Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan Yi Liu Yu-Ching Lin Shuiwang Ji AI4TS 88 84 0 23 Sep 2022
Contrastive Representation Learning for 3D Protein Structures Pedro Hermosilla Timo Ropinski 3DV 46 51 0 31 May 2022
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures Alex Morehead Xiao Chen Tianqi Wu Jian Liu Jianlin Cheng 44 7 0 20 May 2022
Geometric Transformers for Protein Interface Contact Prediction Alex Morehead Chen Chen Jianlin Cheng 31 28 0 06 Oct 2021