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2110.02027
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ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
5 October 2021
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
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Papers citing
"ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
50 / 61 papers shown
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
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Dongxiao He
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Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
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Bingheng Li
Erlin Pan
Zhao Kang
Wenyu Chen
163
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27 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Yaowen Hu
Wenxuan Tu
Yue Liu
Xinhang Wan
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Taichun Zhou
Xinwang Liu
277
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09 Jul 2025
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
Shan Shen
Shenglu Hua
Jiajun Zou
Jiawei Liu
Jianwang Zhai
Chuan Shi
Wenjian Yu
340
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09 Jul 2025
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives
Zihu Wang
Boxun Xu
Hejia Geng
Peng Li
261
1
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21 May 2025
Negative Metric Learning for Graphs
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
308
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0
15 May 2025
A Generative Graph Contrastive Learning Model with Global Signal
Xiaofan Wei
Binyan Zhang
981
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25 Apr 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
International Conference on Learning Representations (ICLR), 2025
Hongliang Chi
Qiong Wu
Zhengyi Zhou
Yao Ma
TDI
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353
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23 Mar 2025
Variational Bayesian Personalized Ranking
Bin Liu
Xiaohong Liu
Q. Luo
Ziqiao Shang
Jielei Chu
Lin Ma
Zhaoyu Li
Fei Teng
Guoquan Zheng
Tianrui Li
372
0
0
14 Mar 2025
Scalable Deep Metric Learning on Attributed Graphs
International Conference on Computational Social Networks (ICCSN), 2024
Xiang Li
G. Agrawal
R. Jin
R. Ramnath
431
0
0
20 Nov 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Yuntao Shou
Xiangyong Cao
Deyu Meng
276
18
0
14 Oct 2024
Multiplex Graph Contrastive Learning with Soft Negatives
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Minhong Zhu
Chen Wang
Sijia Wang
Jiqiang Zhang
Li Chen
Weiran Cai
179
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0
12 Sep 2024
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
Yunhui Liu
Huaisong Zhang
Tieke He
Tao Zheng
Jianhua Zhao
SSL
310
6
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09 Aug 2024
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
203
0
0
26 Jun 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali
Jinlong Li
Huanhuan Chen
Ali Kashif Bashir
233
3
0
21 Jun 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
Li Sun
Zhenhao Huang
Hao Peng
Yujie Wang
Chunyang Liu
Philip S. Yu
GNN
243
20
0
20 May 2024
Incorporating Higher-order Structural Information for Graph Clustering
Qiankun Li
Haobing Liu
Ruobing Jiang
Tingting Wang
GNN
387
5
0
17 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
327
31
0
27 Feb 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
M. Behmanesh
M. Ovsjanikov
340
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23 Feb 2024
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation
Hai-Xin Zhang
Dong Huang
405
1
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25 Jan 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Bozhen Hu
Z. Zang
Jun Xia
Lirong Wu
Cheng Tan
Stan Z. Li
GNN
226
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0
12 Jan 2024
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces
International Journal of Machine Learning and Cybernetics (IJMLC), 2023
Li Sun
Junda Ye
Jiawei Zhang
Yong Yang
Mingsheng Liu
Feiyang Wang
Philip S. Yu
260
6
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02 Jan 2024
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering
Knowledge-Based Systems (KBS), 2023
Yuanyuan Guo
Zehua Zang
Hang Gao
Xiao Xu
Rui Wang
Lixiang Liu
Jiangmeng Li
384
11
0
08 Dec 2023
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Alexander M¨ollers
Alexander Immer
Elvin Isufi
Vincent Fortuin
SSL
BDL
UQCV
328
2
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30 Nov 2023
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Chunjing Gan
Binbin Hu
Bo Huang
Tianyu Zhao
Yingru Lin
Wenliang Zhong
Qing Cui
Jun Zhou
Chuan Shi
277
2
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23 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2023
Xiaojun Guo
Yifei Wang
Zeming Wei
Yisen Wang
246
17
0
05 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations
Neural Information Processing Systems (NeurIPS), 2023
Teng Xiao
Huaisheng Zhu
Ruihao Zhang
Suhang Wang
462
68
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29 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for Recommendation
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Leiqian Han
Hui Yan
Zhicheng Qiao
221
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24 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
IEEE International Conference on Data Engineering (ICDE), 2023
Yuxiang Wang
Xiao Yan
Chuang Hu
Fangcheng Fu
Wentao Zhang
Hao Wang
Shuo Shang
Jiawei Jiang
SSL
154
16
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24 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
Yulan Hu
Zhirui Yang
Ouyang Sheng
Yong Liu
297
1
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17 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
Yueqi Ma
Minjie Chen
Xiang Li
SSL
233
3
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15 Oct 2023
Unsupervised Pretraining for Fact Verification by Language Model Distillation
International Conference on Learning Representations (ICLR), 2023
A. Bazaga
Pietro Lio
Bo Dai
HILM
362
5
0
28 Sep 2023
Provable Training for Graph Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2023
Yue Yu
Tianlin Li
Mengmei Zhang
Nian Liu
Chuan Shi
387
15
0
25 Sep 2023
Graph Self-Contrast Representation Learning
Industrial Conference on Data Mining (IDM), 2023
Minjie Chen
Yao Cheng
Ye Wang
Xiangci Li
Ming Gao
SSL
261
1
0
05 Sep 2023
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation
IEEE International Conference on Computer Vision (ICCV), 2023
Weihan Wang
Zhiyong Yang
Bin Xu
Juanzi Li
Yankui Sun
VLM
289
9
0
31 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number
ACM Multimedia (ACM MM), 2023
Yue Liu
K. Liang
Jun Xia
Xihong Yang
Sihang Zhou
Meng Liu
Xinwang Liu
Stan Z. Li
GNN
292
38
0
13 Aug 2023
Self-Contrastive Graph Diffusion Network
ACM Multimedia (ACM MM), 2023
Yixuan Ma
Kun Zhan
181
11
0
27 Jul 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia
Lecheng Zhang
Xiao Zhu
Stan Z. Li
262
5
0
30 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Knowledge Discovery and Data Mining (KDD), 2023
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
286
45
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16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Knowledge Discovery and Data Mining (KDD), 2023
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
402
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16 Jun 2023
Neighborhood-based Hard Negative Mining for Sequential Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Lu Fan
Jiashu Pu
Rongsheng Zhang
Xiao-Ming Wu
276
18
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12 Jun 2023
Dink-Net: Neural Clustering on Large Graphs
International Conference on Machine Learning (ICML), 2023
Yue Liu
K. Liang
Jun Xia
Sihang Zhou
Xihong Yang
Xinwang Liu
Stan Z. Li
GNN
432
75
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28 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
ACM Conference on Health, Inference, and Learning (CHIL), 2023
Yi Yang
Hejie Cui
Carl Yang
247
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Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
International Conference on Machine Learning (ICML), 2023
Zimeng Qiu
Quanqi Hu
Zhuoning Yuan
Denny Zhou
Lijun Zhang
Tianbao Yang
264
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19 May 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
The Web Conference (WWW), 2023
Honggen Zhang
Igor Molybog
Xufeng Zhao
271
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17 May 2023
Contrastive Graph Clustering in Curvature Spaces
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
254
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Capturing Fine-grained Semantics in Contrastive Graph Representation Learning
Lin Shu
Chuan Chen
Zibin Zheng
235
0
0
23 Apr 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
252
17
0
31 Jan 2023
Bayesian Self-Supervised Contrastive Learning
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Bang-wei Wang
Tianrui Li
SSL
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414
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27 Jan 2023
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