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Protein Representation Learning by Geometric Structure Pretraining

Protein Representation Learning by Geometric Structure Pretraining

11 March 2022
Zuobai Zhang
Minghao Xu
Arian R. Jamasb
Vijil Chenthamarakshan
A. Lozano
Payel Das
Jian Tang
    SSL
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Papers citing "Protein Representation Learning by Geometric Structure Pretraining"

49 / 49 papers shown
Title
A Comprehensive Benchmark for RNA 3D Structure-Function Modeling
A Comprehensive Benchmark for RNA 3D Structure-Function Modeling
Luis Wyss
Vincent Mallet
Wissam Karroucha
Karsten Borgwardt
Carlos Oliver
68
0
0
27 Mar 2025
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
Chenao Li
Shuo Yan
Enyan Dai
75
0
0
10 Feb 2025
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
Wei Wu
Chao Wang
L. Chen
Mingze Yin
Yiheng Zhu
Kun Fu
Jieping Ye
Hui Xiong
Zheng Wang
57
1
0
04 Oct 2024
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
Kaizhi Zheng
Xiaotong Chen
Xuehai He
Jing Gu
Linjie Li
Zhengyuan Yang
Kevin Qinghong Lin
Jianfeng Wang
Lijuan Wang
Xin Eric Wang
KELM
DiffM
72
0
0
03 Oct 2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie
Yue Zhao
87
1
0
02 Oct 2024
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
Yijia Xiao
Edward Sun
Yiqiao Jin
Qifan Wang
Wei Wang
63
14
0
21 Aug 2024
E(n) Equivariant Topological Neural Networks
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
84
9
0
24 May 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
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
106
23
0
01 Mar 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
95
0
0
23 Feb 2024
ProtChatGPT: Towards Understanding Proteins with Large Language Models
ProtChatGPT: Towards Understanding Proteins with Large Language Models
Chao Wang
Hehe Fan
Ruijie Quan
Yi Yang
64
14
0
15 Feb 2024
Contrastive Representation Learning for 3D Protein Structures
Contrastive Representation Learning for 3D Protein Structures
Pedro Hermosilla
Timo Ropinski
3DV
81
51
0
31 May 2022
Tranception: protein fitness prediction with autoregressive transformers
  and inference-time retrieval
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
Pascal Notin
M. Dias
J. Frazer
Javier Marchena-Hurtado
Aidan Gomez
D. Marks
Y. Gal
87
186
0
27 May 2022
Structure-aware Protein Self-supervised Learning
Structure-aware Protein Self-supervised Learning
Can Chen
Jingbo Zhou
Fan Wang
Xue Liu
Dejing Dou
SSL
65
66
0
06 Apr 2022
Multi-Scale Representation Learning on Proteins
Multi-Scale Representation Learning on Proteins
Vignesh Ram Somnath
Charlotte Bunne
Andreas Krause
60
95
0
04 Apr 2022
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug
  Discovery
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Zhaocheng Zhu
Chence Shi
Zuobai Zhang
Shengchao Liu
Minghao Xu
...
Chang Ma
Runcheng Liu
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
OOD
VLM
MedIm
24
72
0
16 Feb 2022
Pre-training Co-evolutionary Protein Representation via A Pairwise
  Masked Language Model
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Liang He
Shizhuo Zhang
Lijun Wu
Huanhuan Xia
Fusong Ju
...
Jianwei Zhu
Pan Deng
Jia Zhang
Tao Qin
Tie-Yan Liu
87
31
0
29 Oct 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model
  for Protein Design
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Yue Cao
Payel Das
Vijil Chenthamarakshan
Pin-Yu Chen
Igor Melnyk
Yang Shen
49
46
0
24 Jun 2021
Self-supervised Graph-level Representation Learning with Local and
  Global Structure
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu
Hang Wang
Bingbing Ni
Hongyu Guo
Jian Tang
SSL
32
209
0
08 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Klicpera
Florian Becker
Stephan Günnemann
AI4CE
74
456
0
02 Jun 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
81
997
0
19 Feb 2021
Is Transfer Learning Necessary for Protein Landscape Prediction?
Is Transfer Learning Necessary for Protein Landscape Prediction?
Amir Shanehsazzadeh
David Belanger
David Dohan
SSL
91
62
0
31 Oct 2020
Learning from Protein Structure with Geometric Vector Perceptrons
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing
Stephan Eismann
Patricia Suriana
Raphael J. L. Townshend
R. Dror
GNN
3DV
59
479
0
03 Sep 2020
ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
...
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
DRL
52
935
0
13 Jul 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
190
951
0
17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
208
1,299
0
10 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
560
41,706
0
28 May 2020
Directional Message Passing for Molecular Graphs
Directional Message Passing for Molecular Graphs
Johannes Klicpera
Janek Groß
Stephan Günnemann
110
869
0
06 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
297
18,686
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
149
12,050
0
13 Nov 2019
Evaluating Protein Transfer Learning with TAPE
Evaluating Protein Transfer Learning with TAPE
Roshan Rao
Nicholas Bhattacharya
Neil Thomas
Yan Duan
Xi Chen
John F. Canny
Pieter Abbeel
Yun S. Song
SSL
83
796
0
19 Jun 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
96
1,396
0
29 May 2019
PullNet: Open Domain Question Answering with Iterative Retrieval on
  Knowledge Bases and Text
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
Haitian Sun
Tania Bedrax-Weiss
William W. Cohen
RALM
ReLM
61
349
0
21 Apr 2019
Learning protein sequence embeddings using information from structure
Learning protein sequence embeddings using information from structure
Tristan Bepler
Bonnie Berger
59
289
0
22 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.3K
94,479
0
11 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
269
10,245
0
10 Jul 2018
Neural Message Passing with Edge Updates for Predicting Properties of
  Molecules and Materials
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials
Peter Bjørn Jørgensen
K. Jacobsen
Mikkel N. Schmidt
56
82
0
08 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
148
9,383
0
09 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
403
20,061
0
30 Oct 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
129
1,074
0
26 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
547
130,873
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
440
15,174
0
07 Jun 2017
DeepSF: deep convolutional neural network for mapping protein sequences
  to folds
DeepSF: deep convolutional neural network for mapping protein sequences to folds
Jie Hou
B. Adhikari
Jianlin Cheng
46
199
0
04 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
403
7,430
0
04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
172
4,807
0
17 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
158
5,963
0
04 Mar 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
132
3,573
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
552
28,964
0
09 Sep 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
163
4,984
0
27 Jun 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.3K
39,468
0
01 Sep 2014
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