An Empirical Study of Graph Contrastive Learning

2 September 2021

Papers citing "An Empirical Study of Graph Contrastive Learning"

50 / 78 papers shown

Title
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 147 0 0 17 Jan 2025
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Neil Shah Jiliang Tang AI4CE 180 2 0 30 Nov 2024
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 97 9 0 21 Jun 2024
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng Jiang AI4CE 64 14 0 08 Sep 2023
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 47 135 0 04 Jun 2021
When Does Contrastive Visual Representation Learning Work? Elijah Cole Xuan S. Yang Kimberly Wilber Oisin Mac Aodha Serge Belongie SSL 64 124 0 12 May 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 125 917 0 11 May 2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning Yao-Hung Hubert Tsai Shaojie Bai Louis-Philippe Morency Ruslan Salakhutdinov SSL 37 38 0 28 Apr 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao Xingcheng Yao Danqi Chen AILaw SSL 207 3,336 0 18 Apr 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 89 41 0 27 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 77 46 0 25 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 57 403 0 17 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 241 2,321 0 04 Mar 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 72 555 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 69 328 0 22 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 181 282 0 12 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 87 250 0 12 Feb 2021
Understanding the Behaviour of Contrastive Loss Feng Wang Huaping Liu SSL 86 679 0 15 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 213 3,992 0 20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Zhenda Xie Yutong Lin Zheng Zhang Yue Cao Stephen Lin Han Hu SSL 92 412 0 19 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 52 117 0 09 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 73 1,091 0 27 Oct 2020
BYOL works even without batch statistics Pierre Harvey Richemond Jean-Bastien Grill Florent Altché Corentin Tallec Florian Strub ... Samuel L. Smith Soham De Razvan Pascanu Bilal Piot Michal Valko SSL 281 114 0 20 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee Yian Zhu Kihyuk Sohn Chun-Liang Li Jinwoo Shin Honglak Lee SSL 52 26 0 17 Oct 2020
Are all negatives created equal in contrastive instance discrimination? Tiffany Cai Jonathan Frankle D. Schwab Ari S. Morcos SSL 44 82 0 13 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 115 768 0 09 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 86 78 0 05 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 109 636 0 02 Oct 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 80 118 0 11 Sep 2020
Spatiotemporal Contrastive Video Representation Learning Rui Qian Tianjian Meng Boqing Gong Ming-Hsuan Yang Haoran Wang Serge J. Belongie Huayu Chen SSL AI4TS 102 495 0 09 Aug 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 184 808 0 16 Jul 2020
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 57 558 0 01 Jul 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 179 942 0 17 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 191 4,051 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 301 6,718 0 13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 205 1,292 0 10 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 59 804 0 07 Jun 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 112 1,808 0 20 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 80 1,313 0 20 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 71 698 0 20 May 2020
CERT: Contrastive Self-supervised Learning for Language Understanding Hongchao Fang Sicheng Wang Meng Zhou Jiayuan Ding P. Xie ELM SSL 70 336 0 16 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 254 2,701 0 02 May 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning T. Klein Moin Nabi LRM SSL 49 63 0 02 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 127 4,505 0 23 Apr 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 325 931 0 02 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 286 18,607 0 13 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 107 572 0 04 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 317 42,038 0 03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 135 12,007 0 13 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 119 696 0 28 Oct 2019