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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

31 July 2019
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
    SSL
ArXivPDFHTML

Papers citing "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

50 / 157 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
Dual Test-time Training for Out-of-distribution Recommender System
Dual Test-time Training for Out-of-distribution Recommender System
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
Xiangyu Zhao
En Zhu
Xinwang Liu
Defu Lian
TTA
112
5
0
13 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Jongwon Park
Heesoo Jung
Hogun Park
51
1
0
10 Mar 2025
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
50
1
0
02 Mar 2025
Deep Modularity Networks with Diversity--Preserving Regularization
Deep Modularity Networks with Diversity--Preserving Regularization
Yasmin Salehi
D. Giannacopoulos
33
0
0
23 Jan 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
53
0
0
17 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit
PyG-SSL: A Graph Self-Supervised Learning Toolkit
Lecheng Zheng
Baoyu Jing
Zihao Li
Zhichen Zeng
Tianxin Wei
...
Lihui Liu
Dongqi Fu
Jiaxuan You
Hanghang Tong
Jingrui He
56
5
0
31 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
67
0
0
26 Nov 2024
Tensor-Fused Multi-View Graph Contrastive Learning
Tensor-Fused Multi-View Graph Contrastive Learning
Yujia Wu
Junyi Mo
Elynn Chen
Yuzhou Chen
29
1
0
20 Oct 2024
Explaining Graph Neural Networks for Node Similarity on Graphs
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
36
1
0
10 Jul 2024
Establishing Deep InfoMax as an effective self-supervised learning
  methodology in materials informatics
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics
Michael Moran
Vladimir V. Gusev
M. Gaultois
Dmytro Antypov
M. Rosseinsky
AI4CE
27
0
0
30 Jun 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
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang
Yixin Liu
Xu Shen
Chenyu Li
Kaize Ding
Rui Miao
Ying Wang
Shirui Pan
Xin Wang
42
8
0
21 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph
  Neural Networks For Enhanced Unified Representation
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
Peiyu Liang
Hongchang Gao
Xubin He
35
0
0
04 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
39
7
0
22 May 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
51
4
0
24 Apr 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
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
38
19
0
30 Mar 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Yutong Xia
Runpeng Yu
Yuxuan Liang
Xavier Bresson
Xinchao Wang
Roger Zimmermann
37
4
0
18 Jan 2024
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
34
8
0
29 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
  Networks
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
31
14
0
02 Nov 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Zhiyuan Liu
Yaorui Shi
An Zhang
Enzhi Zhang
Kenji Kawaguchi
Xiang Wang
Tat-Seng Chua
AI4CE
39
36
0
23 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient
  Method
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu
Ouyang Sheng
Jingyu Liu
Ge Chen
Zhirui Yang
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Yong Liu
31
0
0
23 Oct 2023
Node classification in networks via simplicial interactions
Node classification in networks via simplicial interactions
Eunho Koo
Tongseok Lim
33
0
0
16 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
54
3
0
27 Sep 2023
With Flying Colors: Predicting Community Success in Large-scale
  Collaborative Campaigns
With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns
Abraham Israeli
Oren Tsur
30
2
0
18 Jul 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
33
30
0
31 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu
Weitao Du
Zhiming Ma
Hongyu Guo
Jian Tang
26
30
0
28 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular
  Representation Learning
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Bing-Huang Su
Jirong Wen
29
0
0
22 May 2023
Patton: Language Model Pretraining on Text-Rich Networks
Patton: Language Model Pretraining on Text-Rich Networks
Bowen Jin
Wentao Zhang
Yu Zhang
Yu Meng
Xinyang Zhang
Qi Zhu
Jiawei Han
VLM
42
44
0
20 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Yunsheng Bai
Atefeh Sohrabizadeh
Zongyue Qin
Ziniu Hu
Yizhou Sun
Jason Cong
20
1
0
18 May 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju
Xiao Luo
Meng Qu
Yifan Wang
C. L. Philip Chen
Minghua Deng
Xiansheng Hua
Ming Zhang
21
34
0
23 Apr 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
Gehang Zhang
Yu Bowen
Jiangxia Cao
Xinghua Zhang
Jiawei Sheng
Chuan Zhou
Tingwen Liu
37
0
0
20 Apr 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for
  Biochemical Problems
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems
Fang Wu
Huiling Qin
Siyuan Li
Stan Z. Li
Xianyuan Zhan
Jinbo Xu
24
5
0
08 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit
  Diversity Modeling
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zhangyang Wang
26
28
0
06 Apr 2023
Hybrid Augmented Automated Graph Contrastive Learning
Hybrid Augmented Automated Graph Contrastive Learning
Yifu Chen
Qianqian Ren
Liu Yong
36
1
0
24 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive
  Learning for Recommendation
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Guoqiang Sun
Yibin Shen
Sijing Zhou
Xiang Chen
Hongyan Liu
Chunming Wu
Chenyi Lei
Xianhui Wei
Fei Fang
20
10
0
28 Feb 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu
Jianhao Guo
Siliang Tang
27
28
0
24 Feb 2023
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
24
8
0
16 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Yunhe Zhang
Yan Sun
Jinyu Cai
Jicong Fan
38
10
0
13 Feb 2023
Curriculum Graph Machine Learning: A Survey
Curriculum Graph Machine Learning: A Survey
Haoyang Li
Xin Wang
Wenwu Zhu
30
16
0
06 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
24
9
0
31 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders
  with Masking
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li
Tiandi Ye
Caihua Shan
Dongsheng Li
Ming Gao
SSL
36
30
0
29 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial
  Collaboration
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Xiangyu Zhao
Hannes Stärk
Dominique Beaini
Yiren Zhao
Pietro Lio'
32
0
0
27 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Taewook Ko
Y. Choi
Chong-Kwon Kim
26
3
0
12 Jan 2023
Multi-modal Molecule Structure-text Model for Text-based Retrieval and
  Editing
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu
Weili Nie
Chengpeng Wang
Jiarui Lu
Zhuoran Qiao
Ling Liu
Jian Tang
Chaowei Xiao
Anima Anandkumar
28
152
0
21 Dec 2022
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
24
8
0
20 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic
  Self-supervised Learning
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
Huimin Wu
Chenyang Lei
Xiao Sun
Pengju Wang
Qifeng Chen
Kwang-Ting Cheng
Stephen Lin
Zhirong Wu
MQ
35
5
0
19 Dec 2022
3D Neuron Morphology Analysis
3D Neuron Morphology Analysis
Jiaxiang Jiang
Michael Goebel
Cezar Borba
William Smith
B. S. Manjunath
26
0
0
14 Dec 2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Xumeng Gong
Cheng Yang
Chuan Shi
VLM
22
41
0
14 Dec 2022
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