ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.00987
  4. Cited By
Motif-based Graph Self-Supervised Learning for Molecular Property
  Prediction

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

3 October 2021
Zaixin Zhang
Qi Liu
Hao Wang
Chengqiang Lu
Chee-Kong Lee
    SSL
    AI4CE
ArXivPDFHTML

Papers citing "Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

50 / 125 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
Yong-Jin Liu
Can Ma
Weiping Wang
29
0
0
09 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
175
0
0
04 May 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN
LGIN: Defining an Approximately Powerful Hyperbolic GNN
Srinitish Srinivasan
Omkumar CU
AI4CE
45
0
0
31 Mar 2025
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification
Minjun Kim
Jaehyeon Choi
SeungJoo Lee
Jinhong Jung
U. Kang
OOD
GNN
65
1
0
27 Mar 2025
Regulatory DNA sequence Design with Reinforcement Learning
Zhao-Qing Yang
Bing-Huang Su
Chuan Cao
Ji-Rong Wen
58
0
0
11 Mar 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An
C. Qu
Yun-Fei Shi
XinHao Liu
Qianwei Tang
Fenglei Cao
Yuan Qi
40
0
0
12 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
56
0
0
17 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
171
0
0
03 Jan 2025
ChemDFM-X: Towards Large Multimodal Model for Chemistry
ChemDFM-X: Towards Large Multimodal Model for Chemistry
Zihan Zhao
B. Chen
Jingpiao Li
Lu Chen
Liyang Wen
...
Ziping Wan
Yansi Li
Zhongyang Dai
Xin Chen
Kai Yu
AI4CE
53
3
0
03 Jan 2025
Prompt-based Unifying Inference Attack on Graph Neural Networks
Prompt-based Unifying Inference Attack on Graph Neural Networks
Yuecen Wei
Xingcheng Fu
Lingyun Liu
Qingyun Sun
Hao Peng
Chunming Hu
AAML
79
0
0
20 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
82
1
0
20 Dec 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
Integrating Graph Neural Networks and Many-Body Expansion Theory for
  Potential Energy Surfaces
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
Siqi Chen
Zhiqiang Wang
Xianqi Deng
Yili Shen
C. Ju
...
Lin Xiong
Guo Ling
Dieaa Alhmoud
Hui Guan
Zhou Lin
34
0
0
03 Nov 2024
Pre-trained Molecular Language Models with Random Functional Group
  Masking
Pre-trained Molecular Language Models with Random Functional Group Masking
Tianhao Peng
Yuchen Li
Xuhong Li
Jiang Bian
Zeke Xie
Ning Sui
Shahid Mumtaz
Yanwu Xu
L. Kong
Haoyi Xiong
AI4CE
43
0
0
03 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
41
2
0
02 Nov 2024
LLaMo: Large Language Model-based Molecular Graph Assistant
LLaMo: Large Language Model-based Molecular Graph Assistant
Jinyoung Park
Minseong Bae
Dohwan Ko
Hyunwoo J. Kim
42
1
0
31 Oct 2024
Contextual Representation Anchor Network to Alleviate Selection Bias in
  Few-Shot Drug Discovery
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
Ruifeng Li
Wei Liu
Xiangxin Zhou
Mingqian Li
Qiang Zhang
Hongyang Chen
Xuemin Lin
44
0
0
28 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
44
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
24
0
0
15 Oct 2024
InstructBioMol: Advancing Biomolecule Understanding and Design Following
  Human Instructions
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions
Xiang Zhuang
Keyan Ding
Tianwen Lyu
Yinuo Jiang
Xiaotong Li
...
Ming Qin
Kehua Feng
Jike Wang
Qiang Zhang
Huajun Chen
33
3
0
10 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 D. Burke
Ying Diao
Heng Ji
24
0
0
02 Oct 2024
Molecular Graph Representation Learning via Structural Similarity
  Information
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao
Hong Huang
Hang Gao
Fengge Wu
Haiming Chen
Junsuo Zhao
26
0
0
13 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
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
39
0
0
26 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
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph
  Learning
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
Wenbin Hu
Huihao Jing
Qi Hu
Haoran Li
Yangqiu Song
SSL
AI4CE
42
0
0
09 Aug 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
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
55
2
0
03 Jul 2024
MolFusion: Multimodal Fusion Learning for Molecular Representations via
  Multi-granularity Views
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
Muzhen Cai
Sendong Zhao
Haochun Wang
Yanrui Du
Zewen Qiang
Bing Qin
Ting Liu
37
0
0
26 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
50
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
36
4
0
20 Jun 2024
Learning Molecular Representation in a Cell
Learning Molecular Representation in a Cell
Gang Liu
Srijit Seal
John Arevalo
Zhenwen Liang
Anne E Carpenter
Meng Jiang
Shantanu Singh
42
2
0
17 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification
Motif-driven Subgraph Structure Learning for Graph Classification
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Jiawei Chen
Qingyun Sun
Yan Feng
Chun-Yen Chen
Can Wang
54
1
0
13 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschlager
Niklas Kemper
Leon Hetzel
Johanna Sommer
Stephan Günnemann
48
4
0
12 Jun 2024
Ensemble Model With Bert,Roberta and Xlnet For Molecular property
  prediction
Ensemble Model With Bert,Roberta and Xlnet For Molecular property prediction
Junling Hu
44
1
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
52
3
0
29 May 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu
Hongyang Gao
47
3
0
21 May 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph
  Neural Networks
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Zhe Zhao
Pengkun Wang
Xu Wang
Haibin Wen
Xiaolong Xie
Zhengyang Zhou
Qingfu Zhang
Yang Wang
AI4CE
CLL
20
0
0
23 Apr 2024
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target
  Interaction Prediction
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
Bin Liu
Siqi Wu
Jin Wang
Xin Deng
Ao Zhou
19
0
0
16 Apr 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
Zhenyu Qian
Yiming Qian
Yuting Song
Fei Gao
Hai Jin
Chen Yu
Xia Xie
43
0
0
31 Mar 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
41
5
0
05 Mar 2024
BioT5+: Towards Generalized Biological Understanding with IUPAC
  Integration and Multi-task Tuning
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
Qizhi Pei
Lijun Wu
Kaiyuan Gao
Xiaozhuan Liang
Yin Fang
Jinhua Zhu
Shufang Xie
Tao Qin
Rui Yan
AI4CE
51
30
0
27 Feb 2024
Pretraining Strategy for Neural Potentials
Pretraining Strategy for Neural Potentials
Zehua Zhang
Zijie Li
A. Farimani
AI4CE
44
0
0
24 Feb 2024
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based
  Features from Transaction Graphs
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs
Jovan Blanusa
Maximo Cravero Baraja
Andreea Anghel
Luc von Niederhäusern
Erik Altman
Haris Pozidis
Kubilay Atasu
184
0
0
13 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 Xia
Bozhen Hu
Stan Z. Li
46
6
0
04 Feb 2024
From Words to Molecules: A Survey of Large Language Models in Chemistry
From Words to Molecules: A Survey of Large Language Models in Chemistry
Chang Liao
Yemin Yu
Yu Mei
Ying Wei
33
16
0
02 Feb 2024
MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups
  and their Linker Joints
MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints
Mogan Gim
Jueon Park
Soyon Park
Sanghoon Lee
Seungheun Baek
Junhyun Lee
Ngoc-Quang Nguyen
Jaewoo Kang
AI4CE
25
0
0
30 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation
Unifying Graph Contrastive Learning via Graph Message Augmentation
Ziyan Zhang
Bo Jiang
Jin Tang
Bin Luo
17
1
0
08 Jan 2024
MotifPiece: A Data-Driven Approach for Effective Motif Extraction and
  Molecular Representation Learning
MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning
Zhaoning Yu
Hongyang Gao
24
1
0
24 Dec 2023
Rethinking and Simplifying Bootstrapped Graph Latents
Rethinking and Simplifying Bootstrapped Graph Latents
Wangbin Sun
Jintang Li
Liang Chen
Bingzhe Wu
Yatao Bian
Zibin Zheng
35
11
0
05 Dec 2023
123
Next