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2110.15438
Cited By
InfoGCL: Information-Aware Graph Contrastive Learning
28 October 2021
Dongkuan Xu
Wei Cheng
Dongsheng Luo
Haifeng Chen
Xiang Zhang
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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
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Xiao Yan
Shiyu Jin
Quanqing Xu
Chuang Hu
Yuanyuan Zhu
Bo Du
Jia Wu
Jiawei Jiang
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0
13 May 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Heesoo Jung
Hogun Park
35
2
0
16 Apr 2025
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
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
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
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
Yuntao Shou
Xiangyong Cao
Deyu Meng
28
9
0
14 Oct 2024
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
Cong Shen
Yipeng Zhang
Fei Han
Kelin Xia
AI4CE
28
0
0
07 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
29
0
0
04 Oct 2024
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao
Minhong Zhu
Chen Wang
Sijia Wang
Jiqiang Zhang
Li Chen
Weiran Cai
26
0
0
12 Sep 2024
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
33
0
0
24 Aug 2024
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
36
4
0
20 Jul 2024
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
Yi Fang
Dongzhe Fan
Daochen Zha
Qiaoyu Tan
42
9
0
17 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation Learning
Hang Gao
Peng Qiao
Yifan Jin
Fengge Wu
Jiangmeng Li
Changwen Zheng
31
4
0
13 Jun 2024
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
56
9
0
08 Jun 2024
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
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
Chuang Liu
Zelin Yao
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
Shirui Pan
Bo Du
AI4CE
44
0
0
17 May 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Jia Wu
Wenbin Hu
49
4
0
24 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
26
19
0
30 Mar 2024
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
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
38
8
0
06 Mar 2024
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
22
13
0
16 Feb 2024
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
Liang Wang
Xiang Tao
Qiang Liu
Shu Wu
Liang Wang
34
13
0
11 Feb 2024
Learning High-Order Relationships of Brain Regions
Weikang Qiu
Huangrui Chu
Selena Wang
Haolan Zuo
Xiaoxiao Li
Yize Zhao
Rex Ying
29
0
0
02 Dec 2023
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
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
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
AI4TS
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85
25
0
07 Nov 2023
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
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02 Nov 2023
Towards Self-Interpretable Graph-Level Anomaly Detection
Yixin Liu
Kaize Ding
Qinghua Lu
Fuyi Li
Leo Yu Zhang
Shirui Pan
29
47
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25 Oct 2023
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
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
Junjie Xu
Enyan Dai
Dongsheng Luo
Xiang Zhang
Suhang Wang
27
2
0
16 Oct 2023
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Jingyu Liu
Huayi Tang
Yong Liu
18
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0
06 Oct 2023
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
Patrick Feeney
M. C. Hughes
23
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Layer-wise training for self-supervised learning on graphs
Oscar Pina
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Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
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Yonghao Long
Kai-xiang Chen
Cheuk Hei Leung
Zerui Wang
Qi Dou
17
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02 Sep 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning
Yucheng Shi
Kaixiong Zhou
Ninghao Liu
20
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03 Jul 2023
Directional diffusion models for graph representation learning
Run Yang
Yuling Yang
Fan Zhou
Qiang Sun
DiffM
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Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang
Chao Huang
Lianghao Xia
Zheng Wang
Siu-keung Yiu
Ruihua Han
AI4TS
48
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19 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
24
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16 Jun 2023
Learning on Graphs under Label Noise
Jingyang Yuan
Xiao Luo
Yifang Qin
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Wei Ju
Ming Zhang
NoLa
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CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
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Libin Shen
Mengzhu Wang
L. Lan
Zeyu Ma
C. L. Philip Chen
Xiansheng Hua
Xiao Luo
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Randomized Schur Complement Views for Graph Contrastive Learning
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BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
Z. Yang
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Ming Ding
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Rex Ying
Yukuo Cen
Yangli-ao Geng
Jie Tang
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GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
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Shengchao Liu
Chang Ma
Hannan Xu
Jie Fu
Zhihong Deng
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Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
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Sheng Tian
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