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InfoGCL: Information-Aware Graph Contrastive Learning

InfoGCL: Information-Aware Graph Contrastive Learning

28 October 2021
Dongkuan Xu
Wei Cheng
Dongsheng Luo
Haifeng Chen
Xiang Zhang
ArXivPDFHTML

Papers citing "InfoGCL: Information-Aware Graph Contrastive Learning"

50 / 88 papers shown
Title
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuang Hu
Yuanyuan Zhu
Bo Du
Jia Wu
Jiawei Jiang
24
0
0
13 May 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Heesoo Jung
Hogun Park
26
2
0
16 Apr 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
40
0
0
22 Feb 2025
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning
  for Text Representation
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
Tao Meng
Wei Ai
Jianbin Li
Ze Wang
Yuntao Shou
Keqin Li
AI4TS
69
0
0
16 Dec 2024
Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for
  Semi-supervised Text Classification
Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
Wei Ai
Jianbin Li
Ze Wang
Yingying Wei
Tao Meng
Yuntao Shou
Keqin Lib
85
3
0
25 Nov 2024
Explanation-Preserving Augmentation for Semi-Supervised Graph
  Representation Learning
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
Zhuomin Chen
Jingchao Ni
Hojat Allah Salehi
Xu Zheng
Esteban Schafir
Farhad Shirani
Dongsheng Luo
24
0
0
16 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without
  Positive Samples
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
Yuntao Shou
Xiangyong Cao
Deyu Meng
28
9
0
14 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning
  Perspective
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
Jintang Li
Ruofan Wu
Yuchang Zhu
Huizhe Zhang
Xinzhou Jin
Guibin Zhang
Zulun Zhu
Zibin Zheng
Liang Chen
SSL
32
0
0
14 Oct 2024
Molecular topological deep learning for polymer property prediction
Molecular topological deep learning for polymer property prediction
Cong Shen
Yipeng Zhang
Fei Han
Kelin Xia
AI4CE
28
0
0
07 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural
  Reconstruction
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
24
0
0
04 Oct 2024
Multiplex Graph Contrastive Learning with Soft Negatives
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao
Minhong Zhu
Chen Wang
Sijia Wang
Jiqiang Zhang
Li Chen
Weiran Cai
18
0
0
12 Sep 2024
Disentangled Generative Graph Representation Learning
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
30
0
0
24 Aug 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and
  Self-Training
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu
Mengyu Li
Ximing Li
Lan Huang
Fausto Giunchiglia
Yanchun Liang
Xiaoyue Feng
Renchu Guan
SSL
30
4
0
20 Jul 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity
  Distillation
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen
Yulan Hu
Sheng Ouyang
Yong Liu
Cuicui Luo
31
0
0
25 Jun 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs
  with Large Language Models
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
Yi Fang
Dongzhe Fan
Daochen Zha
Qiaoyu Tan
37
9
0
17 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation
  Learning
Introducing Diminutive Causal Structure into Graph Representation Learning
Hang Gao
Peng Qiao
Yifan Jin
Fengge Wu
Jiangmeng Li
Changwen Zheng
22
4
0
13 Jun 2024
ProG: A Graph Prompt Learning Benchmark
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
53
9
0
08 Jun 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph
  Representation Learning
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Zhuo Xu
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Edwin R. Hancock
GNN
32
1
0
23 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
47
12
0
20 May 2024
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Chuang Liu
Zelin Yao
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
Shirui Pan
Bo Du
AI4CE
39
0
0
17 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
44
4
0
24 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
24
19
0
30 Mar 2024
Exploring Task Unification in Graph Representation Learning via
  Generative Approach
Exploring Task Unification in Graph Representation Learning via Generative Approach
Yulan Hu
Ouyang Sheng
Zhirui Yang
Ge Chen
Junchen Wan
Xiao Wang
Yong Liu
21
2
0
21 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
33
8
0
06 Mar 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
17
13
0
16 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders
UGMAE: A Unified Framework for Graph Masked Autoencoders
Yijun Tian
Chuxu Zhang
Ziyi Kou
Zheyuan Liu
Xiangliang Zhang
Nitesh V. Chawla
19
1
0
12 Feb 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang
Xiang Tao
Qiang Liu
Shu Wu
Liang Wang
31
13
0
11 Feb 2024
Learning High-Order Relationships of Brain Regions
Learning High-Order Relationships of Brain Regions
Weikang Qiu
Huangrui Chu
Selena Wang
Haolan Zuo
Xiaoxiao Li
Yize Zhao
Rex Ying
24
0
0
02 Dec 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and
  Downstream Tasks on Graphs
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
Xingtong Yu
Zhenghao Liu
Yuan Fang
Zemin Liu
Sihong Chen
Xinming Zhang
33
24
0
26 Nov 2023
Joyful: Joint Modality Fusion and Graph Contrastive Learning for
  Multimodal Emotion Recognition
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition
Dongyuan Li
Yusong Wang
Kotaro Funakoshi
Manabu Okumura
26
12
0
18 Nov 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
AI4TS
AI4CE
80
25
0
07 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
25
14
0
02 Nov 2023
Towards Self-Interpretable Graph-Level Anomaly Detection
Towards Self-Interpretable Graph-Level Anomaly Detection
Yixin Liu
Kaize Ding
Qinghua Lu
Fuyi Li
Leo Yu Zhang
Shirui Pan
29
47
0
25 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph
  Self-Supervised Learning
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
Yuxiang Wang
Xiao Yan
Chuang Hu
Fangcheng Fu
Wentao Zhang
Hao Wang
Shuo Shang
Jiawei Jiang
SSL
37
6
0
24 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
26
0
0
23 Oct 2023
Shape-aware Graph Spectral Learning
Shape-aware Graph Spectral Learning
Junjie Xu
Enyan Dai
Dongsheng Luo
Xiang Zhang
Suhang Wang
22
2
0
16 Oct 2023
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Jingyu Liu
Huayi Tang
Yong Liu
16
2
0
06 Oct 2023
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
Patrick Feeney
M. C. Hughes
23
3
0
25 Sep 2023
Layer-wise training for self-supervised learning on graphs
Layer-wise training for self-supervised learning on graphs
Oscar Pina
Verónica Vilaplana
SSL
GNN
25
1
0
04 Sep 2023
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip
  Segmentation in Robotic Surgeries
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
Jiaqi Liu
Yonghao Long
Kai-xiang Chen
Cheuk Hei Leung
Zerui Wang
Qi Dou
17
2
0
02 Sep 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation
  Learning
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning
Yucheng Shi
Kaixiong Zhou
Ninghao Liu
18
11
0
03 Jul 2023
Directional diffusion models for graph representation learning
Directional diffusion models for graph representation learning
Run Yang
Yuling Yang
Fan Zhou
Qiang Sun
DiffM
20
12
0
22 Jun 2023
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang
Chao Huang
Lianghao Xia
Zheng Wang
Siu-keung Yiu
Ruihua Han
AI4TS
48
13
0
19 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
19
22
0
16 Jun 2023
Learning on Graphs under Label Noise
Learning on Graphs under Label Noise
Jingyang Yuan
Xiao Luo
Yifang Qin
Yusheng Zhao
Wei Ju
Ming Zhang
NoLa
22
19
0
14 Jun 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive
  Graph Classification
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin
Libin Shen
Mengzhu Wang
L. Lan
Zeyu Ma
C. L. Philip Chen
Xiansheng Hua
Xiao Luo
26
43
0
08 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
4
1
0
06 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision,
  Language, and Graphs
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
Z. Yang
Tinglin Huang
Ming Ding
Yuxiao Dong
Rex Ying
Yukuo Cen
Yangli-ao Geng
Jie Tang
SSL
VLM
26
8
0
06 Jun 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule
  Zero-Shot Learning
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao
Shengchao Liu
Chang Ma
Hannan Xu
Jie Fu
Zhihong Deng
Lingpeng Kong
Qi Liu
23
60
0
28 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic
  Graphs
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
24
10
0
18 May 2023
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