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Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning

31 January 2023

Chaoxi Niu

Guansong Pang

Ling-Hao Chen

ArXiv (abs)PDF HTML Github (7★)

Papers citing "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"

36 / 36 papers shown

Title
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 67 24 0 20 Nov 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 61 200 0 28 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 66 71 0 27 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 63 123 0 05 Oct 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 77 172 0 02 Sep 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 59 87 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 81 479 0 10 Jun 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure Minghao Xu Hang Wang Bingbing Ni Hongyu Guo Jian Tang SSL 44 211 0 08 Jun 2021
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 87 353 0 03 May 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 107 571 0 27 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 103 335 0 22 Feb 2021
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 84 1,112 0 27 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,366 0 08 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations Mike Wu Milan Mossé Chengxu Zhuang Daniel L. K. Yamins Noah D. Goodman SSL 95 79 0 05 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 134 645 0 02 Oct 2020
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 76 566 0 01 Jul 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen Wuyang Chen Tianlong Chen Ye Yuan Chen Gong Kewei Chen Zhangyang Wang 70 81 0 22 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 246 4,097 0 17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,305 0 10 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong Guosheng Lin SSL DRL 136 975 0 11 May 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 118 581 0 04 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,121 0 13 Nov 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 153 864 0 31 Jul 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 780 8,554 0 03 Jan 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,364 0 14 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 179 3,465 0 05 May 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 118 882 0 26 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 282 9,797 0 25 Oct 2017
graph2vec: Learning Distributed Representations of Graphs A. Narayanan Mahinthan Chandramohan R. Venkatesan Lihui Chen Yang Liu Shantanu Jaiswal GNN 71 744 0 17 Jul 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 529 0 23 May 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,591 0 21 Nov 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,903 0 03 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 831 9,345 0 06 Jun 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 257 9,800 0 26 Mar 2014