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Pre-training Molecular Graph Representation with 3D Geometry

Pre-training Molecular Graph Representation with 3D Geometry

7 October 2021
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
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Papers citing "Pre-training Molecular Graph Representation with 3D Geometry"

50 / 169 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
29
0
0
09 May 2025
Unified Molecule Generation and Property Prediction
Unified Molecule Generation and Property Prediction
Adam Izdebski
Jan Olszewski
Pankhil Gawade
Krzysztof Koras
Serra Korkmaz
Valentin Rauscher
Jakub M. Tomczak
E. Szczurek
31
0
0
23 Apr 2025
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension
Hao Li
Liuzhenghao Lv
He Cao
Zijing Liu
Zhiyuan Yan
Yu Wang
Yonghong Tian
Y. Li
Li Yuan
30
0
0
10 Apr 2025
NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products
NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products
Yuheng Ding
Yusong Wang
Bo Qiang
Jie Yu
Qi Li
Yiran Zhou
Zhenmin Liu
153
0
0
22 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
46
1
0
13 Mar 2025
GraphT5: Unified Molecular Graph-Language Modeling via Multi-Modal Cross-Token Attention
Sangyeup Kim
Nayeon Kim
Yinhua Piao
Sun Kim
36
0
0
07 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
60
0
0
06 Mar 2025
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
Shuyi Jia
Shitij Govil
Manav Ramprasad
Victor Fung
AI4CE
64
1
0
03 Mar 2025
MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model
Sumin Ha
Jun Hyeong Kim
Yinhua Piao
Sun Kim
44
0
0
23 Feb 2025
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee
Edward De Brouwer
Ehsan Hajiramezanali
Tommaso Biancalani
Chanyoung Park
Gabriele Scalia
36
0
0
22 Feb 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
66
2
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
100
3
0
18 Feb 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
Eric Aubinais
Philippe Formont
Pablo Piantanida
Elisabeth Gassiat
38
0
0
10 Feb 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
45
0
0
17 Jan 2025
Graph Generative Pre-trained Transformer
Xiaohui Chen
Yinkai Wang
Jiaxing He
Yuanqi Du
S. Hassoun
Xiaolin Xu
Li Liu
41
1
0
03 Jan 2025
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
Jingjing Hu
D. Guo
Zhan Si
Deguang Liu
Yunfeng Diao
J. Zhang
Jinxing Zhou
Meng Wang
Mamba
98
1
0
21 Dec 2024
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
80
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
69
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
50
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
Exploring Hierarchical Molecular Graph Representation in Multimodal LLMs
Exploring Hierarchical Molecular Graph Representation in Multimodal LLMs
Chengxin Hu
Hao Li
Yihe Yuan
Jing Li
Ivor Tsang
46
0
0
07 Nov 2024
Two-Stage Pretraining for Molecular Property Prediction in the Wild
Two-Stage Pretraining for Molecular Property Prediction in the Wild
Kevin Tirta Wijaya
Minghao Guo
Michael Sun
Hans-Peter Seidel
Wojciech Matusik
Vahid Babaei
AI4CE
27
0
0
05 Nov 2024
Exploring Consistency in Graph Representations:from Graph Kernels to
  Graph Neural Networks
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Xuyuan Liu
Yinghao Cai
Qihui Yang
Yujun Yan
31
0
0
31 Oct 2024
Multi-view biomedical foundation models for molecule-target and property prediction
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan
Yunguang Qiu
Shreyans Sethi
Diwakar Mahajan
Hongyang Li
...
Bum Chul Kwon
Pablo Meyer
Feixiong Cheng
Jianying Hu
Joseph A. Morrone
AI4CE
33
0
0
25 Oct 2024
FragNet: A Graph Neural Network for Molecular Property Prediction with
  Four Layers of Interpretability
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability
G. Panapitiya
Peiyuan Gao
C Mark Maupin
Emily Saldanha
AI4CE
33
1
0
16 Oct 2024
Large-Scale Knowledge Integration for Enhanced Molecular Property
  Prediction
Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction
Yasir Ghunaim
Robert Hoehndorf
AI4CE
19
0
0
15 Oct 2024
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property
  Prediction
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
Longlong Li
Yipeng Zhang
Guanghui Wang
Kelin Xia
29
3
0
15 Oct 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
38
5
0
14 Oct 2024
Text-guided Diffusion Model for 3D Molecule Generation
Text-guided Diffusion Model for 3D Molecule Generation
Yanchen Luo
Junfeng Fang
Sihang Li
Zhiyuan Liu
Jiancan Wu
An Zhang
Wenjie Du
Xiang Wang
31
6
0
04 Oct 2024
FARM: Functional Group-Aware Representations for Small Molecules
FARM: Functional Group-Aware Representations for Small Molecules
Thao Nguyen
Kuan-Hao Huang
Ge Liu
Martin Burke
Ying Diao
Heng Ji
20
0
0
02 Oct 2024
Polyatomic Complexes: A topologically-informed learning representation
  for atomistic systems
Polyatomic Complexes: A topologically-informed learning representation for atomistic systems
Rahul Khorana
Marcus Noack
Jin Qian
AI4CE
26
0
0
23 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
28
0
0
09 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
28
0
0
02 Sep 2024
Cross-Modal Learning for Chemistry Property Prediction: Large Language
  Models Meet Graph Machine Learning
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sakhinana Sagar Srinivas
Venkataramana Runkana
AI4CE
33
1
0
27 Aug 2024
Molecular Graph Representation Learning Integrating Large Language
  Models with Domain-specific Small Models
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
Tianyu Zhang
Yuxiang Ren
Chengbin Hou
Hairong Lv
Xuegong Zhang
AI4CE
34
1
0
19 Aug 2024
Advancements in Molecular Property Prediction: A Survey of Single and
  Multimodal Approaches
Advancements in Molecular Property Prediction: A Survey of Single and Multimodal Approaches
Tanya Liyaqat
T. Ahmad
Chandni Saxena
32
2
0
18 Aug 2024
UniMoT: Unified Molecule-Text Language Model with Discrete Token
  Representation
UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation
Jiayuan Zhu
Yunli Qi
Yongqiang Chen
Quanming Yao
29
7
0
01 Aug 2024
A Large Encoder-Decoder Family of Foundation Models For Chemical
  Language
A Large Encoder-Decoder Family of Foundation Models For Chemical Language
Eduardo Soares
Victor Shirasuna
E. V. Brazil
Renato F. G. Cerqueira
Dmitry Zubarev
Kristin Schmidt
AI4CE
27
7
0
24 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for
  Molecular Graph Classification
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
Jakub Adamczyk
Wojciech Czech
42
2
0
16 Jul 2024
Pre-training with Fractional Denoising to Enhance Molecular Property
  Prediction
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction
Yuyan Ni
Shikun Feng
Xin Hong
Yuancheng Sun
Wei-Ying Ma
Zhiming Ma
Qiwei Ye
Yanyan Lan
AI4CE
36
10
0
14 Jul 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
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
38
6
0
21 Jun 2024
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment
HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment
Yongqiang Chen
Quanming Yao
Juzheng Zhang
James Cheng
Yatao Bian
32
4
0
20 Jun 2024
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
He Cao
Yanjun Shao
Zhiyuan Liu
Zijing Liu
Xiangru Tang
Yuan Yao
Yu Li
AI4CE
33
5
0
19 Jun 2024
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular
  Property Prediction
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction
Yuyan Liu
Sirui Ding
Sheng Zhou
Wenqi Fan
Qiaoyu Tan
34
6
0
18 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
32
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
32
0
0
30 May 2024
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced
  Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
Thao Nguyen
Tiara Torres-Flores
Changhyun Hwang
Carl N. Edwards
Ying Diao
Heng Ji
24
0
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
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