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Deep Learning of High-Order Interactions for Protein Interface
  Prediction

Deep Learning of High-Order Interactions for Protein Interface Prediction

18 July 2020
Yi Liu
Haonan Yuan
Lei Cai
Shuiwang Ji
ArXivPDFHTML

Papers citing "Deep Learning of High-Order Interactions for Protein Interface Prediction"

10 / 10 papers shown
Title
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
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
63
0
0
04 May 2025
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
29
8
0
16 Feb 2023
Integration of Pre-trained Protein Language Models into Geometric Deep
  Learning Networks
Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks
Fang Wu
Yujun Tao
Dragomir R. Radev
Jinbo Xu
Stan Z. Li
AI4CE
35
32
0
07 Dec 2022
Periodic Graph Transformers for Crystal Material Property Prediction
Periodic Graph Transformers for Crystal Material Property Prediction
Keqiang Yan
Yi Liu
Yu-Ching Lin
Shuiwang Ji
AI4TS
90
85
0
23 Sep 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular
  Graphs
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Limei Wang
Yi Liu
Yu-Ching Lin
Hao Liu
Shuiwang Ji
GNN
52
89
0
17 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark
GOOD: A Graph Out-of-Distribution Benchmark
Shurui Gui
Xiner Li
Limei Wang
Shuiwang Ji
OOD
43
116
0
16 Jun 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
27
2
0
15 May 2022
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein
  Docking
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
O. Ganea
Xinyuan Huang
Charlotte Bunne
Yatao Bian
Regina Barzilay
Tommi Jaakkola
Andreas Krause
36
152
0
15 Nov 2021
Structure-aware Interactive Graph Neural Networks for the Prediction of
  Protein-Ligand Binding Affinity
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li
Jingbo Zhou
Tong Xu
Liang Huang
Fan Wang
Haoyi Xiong
Weili Huang
Dejing Dou
Hui Xiong
MLAU
27
166
0
21 Jul 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
41
326
0
22 Feb 2021
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