Graph Representation Learning via Graphical Mutual Information Maximization

4 February 2020

Papers citing "Graph Representation Learning via Graphical Mutual Information Maximization"

50 / 208 papers shown

Title
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping M. Park SSL 19 4 0 10 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 24 61 0 04 Jan 2022
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 23 10 0 16 Dec 2021
Graph Representation Learning via Contrasting Cluster Assignments Chun-Yang Zhang Hong-Yu Yao F. I. C. L. Philip Chen Yue-Na Lin SSL 21 2 0 15 Dec 2021
A Self-supervised Mixed-curvature Graph Neural Network Li Sun Zhongbao Zhang Junda Ye Hao Peng Jiawei Zhang Sen Su Philip S. Yu SSL 28 33 0 10 Dec 2021
Siamese Attribute-missing Graph Auto-encoder Wenxuan Tu Sihang Zhou Yue Liu Xinwang Liu 4 7 0 09 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
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 25 24 0 20 Nov 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 31 57 0 28 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering Wei Xia Quanxue Gao Ming Yang Xinbo Gao SSL 61 29 0 15 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 50 86 0 08 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun-Xiong Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 25 120 0 05 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 32 249 0 03 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control Libing Wu Min Wang Dan Wu Jia Wu 24 30 0 12 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 39 27 0 08 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 11 167 0 02 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 29 42 0 24 Aug 2021
Group Contrastive Self-Supervised Learning on Graphs Xinyi Xu Cheng Deng Yaochen Xie Shuiwang Ji SSL 4 17 0 20 Jul 2021
Multi-Level Graph Contrastive Learning Pengpeng Shao Tong Liu Dawei Zhang J. Tao Feihu Che Guohua Yang 19 9 0 06 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 17 36 0 03 Jul 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 22 210 0 23 Jun 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang Chenjuan Guo Jilin Hu Jiangtao Tang Bin Yang SSL 16 47 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 22 447 0 10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 16 333 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 14 22 0 09 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 16 0 0 07 Jun 2021
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function Sayan Nag SSL 24 0 0 25 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 22 4 0 25 May 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 18 375 0 19 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 28 241 0 16 May 2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations Xiaolong Fan Maoguo Gong Yue Wu Hao Li SSL 25 4 0 14 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 22 153 0 12 May 2021
Variational Co-embedding Learning for Attributed Network Clustering Shuiqiao Yang Sunny Verma Borui Cai Jiaojiao Jiang Kun Yu Fang Chen Shui Yu 24 30 0 15 Apr 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 31 289 0 27 Feb 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 19 542 0 27 Feb 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 26 33 0 25 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 21 324 0 22 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 163 0 15 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 21 216 0 12 Feb 2021
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery Shuliang Xu Sheng-lan Liu Lin Feng SSL 11 2 0 05 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 40 6 0 27 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 22 162 0 20 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 72 110 0 10 Dec 2020
Self-supervised Graph Representation Learning via Bootstrapping Feihu Che Guohua Yang Dawei Zhang J. Tao Pengpeng Shao Tong Liu SSL 8 23 0 10 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 16 1,072 0 27 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 93 224 0 24 Oct 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 19 167 0 22 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 19 137 0 15 Sep 2020