Localized Contrastive Learning on Graphs

8 December 2022

Philip S. Yu

Papers citing "Localized Contrastive Learning on Graphs"

44 / 44 papers shown

Title
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu Xiao Wang Deyu Bo Chuan Shi Jian Pei 52 67 0 05 Oct 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods Randall Balestriero Yann LeCun SSL 87 135 0 23 May 2022
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 114 209 0 05 Dec 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
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 67 221 0 23 Jun 2021
Self-Supervised Learning with Kernel Dependence Maximization Yazhe Li Roman Pogodin Danica J. Sutherland Arthur Gretton SSL 73 84 0 15 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 235 0 11 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 77 320 0 08 Jun 2021
Mean Shift for Self-Supervised Learning Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash SSL 56 93 0 15 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 235 467 0 29 Apr 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao Xingcheng Yao Danqi Chen AILaw SSL 274 3,407 0 18 Apr 2021
Random Feature Attention Hao Peng Nikolaos Pappas Dani Yogatama Roy Schwartz Noah A. Smith Lingpeng Kong 107 362 0 03 Mar 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 176 590 0 04 Jan 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
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 147 784 0 09 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
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 186 1,597 0 30 Sep 2020
Uncovering the structure of clinical EEG signals with self-supervised learning Hubert J. Banville O. Chehab Aapo Hyvarinen Denis A. Engemann Alexandre Gramfort 71 197 0 31 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 226 959 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 371 6,833 0 13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,305 0 10 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 73 818 0 07 Jun 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 309 2,746 0 02 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 100 175 0 23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 321 1,122 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 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
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 266 863 0 28 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 286 758 0 03 Sep 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 174 2,409 0 13 Jun 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 109 812 0 16 May 2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems Qitian Wu Hengrui Zhang Xiaofeng Gao Peng He Paul Weng Han Gao Guihai Chen OffRL CML 86 321 0 25 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,396 0 27 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 332 2,670 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,349 0 10 Jul 2018
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees H. Avron Michael Kapralov Cameron Musco Christopher Musco A. Velingker A. Zandieh 68 156 0 26 Apr 2018
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,591 0 21 Nov 2016
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 86 222 0 28 Oct 2016
Large-Scale Kernel Methods for Independence Testing Qinyi Zhang Sarah Filippi Arthur Gretton Dino Sejdinovic 112 132 0 25 Jun 2016
Image-based Recommendations on Styles and Substitutes Julian McAuley C. Targett Javen Qinfeng Shi Anton Van Den Hengel 124 2,412 0 15 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 95 444 0 13 Aug 2014