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3D Infomax improves GNNs for Molecular Property Prediction

3D Infomax improves GNNs for Molecular Property Prediction

8 October 2021
Hannes Stärk
Dominique Beaini
Gabriele Corso
Prudencio Tossou
Christian Dallago
Stephan Günnemann
Pietro Lió
    AI4CE
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Papers citing "3D Infomax improves GNNs for Molecular Property Prediction"

50 / 114 papers shown
Title
Multi-Modal Molecular Representation Learning via Structure Awareness
Multi-Modal Molecular Representation Learning via Structure Awareness
Rong Yin
Ruyue Liu
Xiaoshuai Hao
Xingrui Zhou
Y. Liu
Can Ma
Weiping Wang
22
0
0
09 May 2025
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Shuqi Lu
Haowei Lin
Lin Yao
Zhifeng Gao
Xiaohong Ji
W. Elwasif
Linfeng Zhang
Guolin Ke
41
0
0
20 Mar 2025
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Shuqi Lu
Xiaohong Ji
Bohang Zhang
Lin Yao
Siyuan Liu
Zhifeng Gao
Linfeng Zhang
Guolin Ke
AI4CE
35
1
0
13 Mar 2025
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
Yiheng Zhu
Mingyang Li
Junlong Liu
Kun Fu
J. Wu
Q. Li
Mingze Yin
Jieping Ye
Jian Wu
Z. Wang
55
0
0
06 Mar 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Liang Wang
Shaozhen Liu
Yu Rong
Deli Zhao
Qiang Liu
Shu Wu
Liang Wang
MedIm
55
1
0
22 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Junfeng Fang
Yaorui Shi
X. Wang
Kenji Kawaguchi
Tat-Seng Chua
90
3
0
18 Feb 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
Eric Aubinais
Philippe Formont
Pablo Piantanida
Elisabeth Gassiat
36
0
0
10 Feb 2025
Molecular Graph Contrastive Learning with Line Graph
Molecular Graph Contrastive Learning with Line Graph
Xueyuan Chen
Shangzhe Li
Ruomei Liu
Bowen Shi
J. Liu
Junran Wu
Ke Xu
40
0
0
15 Jan 2025
Pre-training Graph Neural Networks on Molecules by Using
  Subgraph-Conditioned Graph Information Bottleneck
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang
O-Joun Lee
AI4CE
65
1
0
20 Dec 2024
SMI-Editor: Edit-based SMILES Language Model with Fragment-level
  Supervision
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
Kangjie Zheng
Siyue Liang
Junwei Yang
Bin Feng
Zequn Liu
Wei Ju
Zhiping Xiao
Ming Zhang
70
1
0
07 Dec 2024
3D Interaction Geometric Pre-training for Molecular Relational Learning
3D Interaction Geometric Pre-training for Molecular Relational Learning
Namkyeong Lee
Yunhak Oh
Heewoong Noh
Gyoung S. Na
Minkai Xu
Hanchen Wang
Tianfan Fu
Chanyoung Park
AI4CE
67
0
0
04 Dec 2024
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
Xi Fang
Jiankun Wang
X. Cai
Shangqian Chen
Shuwen Yang
Lin Yao
Linfeng Zhang
Guolin Ke
Linfeng Zhang
Guolin Ke
40
1
0
17 Nov 2024
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules
Teng Xiao
Chao Cui
Huaisheng Zhu
V. Honavar
AI4CE
CLIP
28
0
0
16 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular
  Property Prediction
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
31
0
0
02 Nov 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
34
4
0
14 Oct 2024
CrysAtom: Distributed Representation of Atoms for Crystal Property
  Prediction
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
Shrimon Mukherjee
Madhusudan Ghosh
Partha Basuchowdhuri
24
0
0
07 Sep 2024
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for
  Activity Cliffs
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs
Zhixiang Cheng
Hongxin Xiang
Pengsen Ma
Li Zeng
Xin Jin
...
Yang Deng
Bosheng Song
Xinxin Feng
Changhui Deng
Xiangxiang Zeng
14
0
0
02 Sep 2024
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
Rafał Karczewski
Samuel Kaski
Markus Heinonen
Vikas K. Garg
25
0
0
12 Aug 2024
MolTRES: Improving Chemical Language Representation Learning for
  Molecular Property Prediction
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park
Yeachan Kim
Mingyu Lee
Hyuntae Park
SangKeun Lee
30
0
0
09 Jul 2024
TopoGCL: Topological Graph Contrastive Learning
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen
José Frías
Yulia R. Gel
14
8
0
25 Jun 2024
Uni-Mol2: Exploring Molecular Pretraining Model at Scale
Uni-Mol2: Exploring Molecular Pretraining Model at Scale
Xiaohong Ji
Zhen Wang
Zhifeng Gao
Hang Zheng
Linfeng Zhang
Guolin Ke
Weinan E
AI4CE
27
5
0
21 Jun 2024
MoleculeCLA: Rethinking Molecular Benchmark via Computational
  Ligand-Target Binding Analysis
MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis
Shikun Feng
Jiaxin Zheng
Yinjun Jia
Yanwen Huang
Fengfeng Zhou
Wei-Ying Ma
Yanyan Lan
19
0
0
13 Jun 2024
Medication Recommendation via Dual Molecular Modalities and
  Multi-Substructure Enhancement
Medication Recommendation via Dual Molecular Modalities and Multi-Substructure Enhancement
Shizhuo Mu
Shunpan Liang
Xiang Li
19
0
0
30 May 2024
Adapting Differential Molecular Representation with Hierarchical Prompts
  for Multi-label Property Prediction
Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
Linjia Kang
Songhua Zhou
Shuyan Fang
Shichao Liu
Wen Zhang
AI4CE
28
0
0
29 May 2024
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for
  Graph Neural Networks Molecular property models
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models
Jose A. Arjona-Medina
Ramil I. Nugmanov
AI4CE
16
1
0
23 May 2024
UniCorn: A Unified Contrastive Learning Approach for Multi-view
  Molecular Representation Learning
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
Shikun Feng
Yuyan Ni
Minghao Li
Yanwen Huang
Zhiming Ma
Wei-Ying Ma
Yanyan Lan
SSL
41
7
0
15 May 2024
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation
  Learning
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
Jiying Zhang
Zijing Liu
Yu Wang
Yu Li
DiffM
39
1
0
09 May 2024
On the Scalability of GNNs for Molecular Graphs
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski
Frederik Wenkel
Farimah Poursafaei
Nia Dickson
Karush Suri
Philip Fradkin
Dominique Beaini
GNN
AI4CE
26
11
0
17 Apr 2024
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular
  Modeling
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
Kangjie Zheng
Siyu Long
Tianyu Lu
Junwei Yang
Xinyu Dai
Ming Zhang
Zaiqing Nie
Wei-Ying Ma
Hao Zhou
25
5
0
05 Mar 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
29
20
0
01 Mar 2024
Pretraining Strategy for Neural Potentials
Pretraining Strategy for Neural Potentials
Zehua Zhang
Zijie Li
A. Farimani
AI4CE
29
0
0
24 Feb 2024
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular
  Property Prediction: A Systematic Survey
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
Taojie Kuang
Pengfei Liu
Zhixiang Ren
AI4CE
32
1
0
11 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular
  Graph Learning with Triplet Graph Transformers
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain
Mohammed J. Zaki
D. Subramanian
ViT
14
4
0
07 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
A Graph is Worth KKK Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao
Daize Dong
Cheng Tan
Jun-Xiong Xia
Bozhen Hu
Stan Z. Li
41
6
0
04 Feb 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
D. M. Nguyen
Nina Lukashina
Tai Nguyen
An T. Le
TrungTin Nguyen
Nhat Ho
Jan Peters
Daniel Sonntag
Viktor Zaverkin
Mathias Niepert
18
1
0
03 Feb 2024
Graph Multi-Similarity Learning for Molecular Property Prediction
Graph Multi-Similarity Learning for Molecular Property Prediction
Hao Xu
Zhengyang Zhou
Pengyu Hong
14
0
0
31 Jan 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks
  via Text Prompts
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
Haoqiang Guo
Sendong Zhao
Hao Wang
Yanrui Du
Bing Qin
AI4CE
8
8
0
21 Jan 2024
Multi-Modal Representation Learning for Molecular Property Prediction:
  Sequence, Graph, Geometry
Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
Zeyu Wang
Tianyi Jiang
Jinhuan Wang
Qi Xuan
AI4CE
8
4
0
07 Jan 2024
Pre-training of Molecular GNNs via Conditional Boltzmann Generator
Pre-training of Molecular GNNs via Conditional Boltzmann Generator
Daiki Koge
N. Ono
Shigehiko Kanaya
AI4CE
11
0
0
20 Dec 2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive
  Molecular Property Prediction
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction
Andac Demir
Francis Prael
B. Kiziltan
8
2
0
12 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D
  Diffusion
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Weitao Du
Jiujiu Chen
Xuecang Zhang
Zhiming Ma
Shengchao Liu
DiffM
25
9
0
06 Dec 2023
Enhancing Molecular Property Prediction via Mixture of Collaborative
  Experts
Enhancing Molecular Property Prediction via Mixture of Collaborative Experts
Xu Yao
Shuang Liang
Songqiao Han
Hailiang Huang
11
4
0
06 Dec 2023
Removing Biases from Molecular Representations via Information
  Maximization
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
8
4
0
01 Dec 2023
Improving Self-supervised Molecular Representation Learning using
  Persistent Homology
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo
Lei Shi
Veronika Thost
SSL
6
8
0
29 Nov 2023
MultiModal-Learning for Predicting Molecular Properties: A Framework
  Based on Image and Graph Structures
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures
Zhuoyuan Wang
Jiacong Mi
Shan Lu
Jieyue He
11
1
0
28 Nov 2023
InstructMol: Multi-Modal Integration for Building a Versatile and
  Reliable Molecular Assistant in Drug Discovery
InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
He Cao
Zijing Liu
Xingyu Lu
Yuan Yao
Yu Li
12
56
0
27 Nov 2023
Stoichiometry Representation Learning with Polymorphic Crystal
  Structures
Stoichiometry Representation Learning with Polymorphic Crystal Structures
Namkyeong Lee
Heewoong Noh
Gyoung S. Na
Tianfan Fu
Jimeng Sun
Chanyoung Park
13
0
0
17 Nov 2023
Multiparameter Persistent Homology for Molecular Property Prediction
Multiparameter Persistent Homology for Molecular Property Prediction
Andac Demir
B. Kiziltan
14
1
0
17 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction
Identifying Semantic Component for Robust Molecular Property Prediction
Zijian Li
Zunhong Xu
Ruichu Cai
Zhenhui Yang
Yuguang Yan
Zhifeng Hao
Guan-Hong Chen
Kun Zhang
10
9
0
08 Nov 2023
Weakly supervised cross-modal learning in high-content screening
Weakly supervised cross-modal learning in high-content screening
Gabriel Watkinson
Ethan O. Cohen
Nicolas Bourriez
Ihab Bendidi
Guillaume Bollot
Auguste Genovesio
11
3
0
08 Nov 2023
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