Deep Graph Contrastive Representation Learning

7 June 2020

Qiang Liu

Liang Wang

Papers citing "Deep Graph Contrastive Representation Learning"

50 / 154 papers shown

Title
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning Yun Zhu Jianhao Guo Fei Wu Siliang Tang 30 22 0 29 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs Rajarshi Das Ameya Godbole Ankita Rajaram Naik Elliot Tower Robin Jia Manzil Zaheer Hannaneh Hajishirzi Andrew McCallum 25 53 0 22 Feb 2022
Modelling the semantics of text in complex document layouts using graph transformer networks T. Barillot Jacob Saks Polena Lilyanova Edward Torgas Yachen Hu Yuanqing Liu Varun Balupuri P. Gaskell GNN 36 0 0 18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 34 80 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 38 22 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 21 18 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 51 25 0 16 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Yangqiu Song Huan Liu OOD GNN 32 219 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 22 419 0 13 Feb 2022
Multimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement L. A. Passos João Paulo Papa Javier Del Ser Amir Hussain Ahsan Adeel 27 35 0 09 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 19 280 0 07 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 26 0 0 30 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 23 5 0 21 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 25 42 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 0 20 Jan 2022
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 29 10 0 16 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Yang Liu Keze Wang Lingbo Liu Hao Lan Liang Lin SSL AI4TS 53 113 0 07 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 33 24 0 20 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 22 35 0 01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 25 3 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 193 0 28 Oct 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Yangqiu Song 31 57 0 28 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 24 76 0 25 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 25 121 0 05 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 24 5 0 29 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 56 145 0 21 Sep 2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning Yanqiao Zhu Yichen Xu Hejie Cui Carl Yang Qiang Liu Shu Wu 24 9 0 31 Aug 2021
Graph Contrastive Pre-training for Effective Theorem Reasoning Zhaoyu Li Binghong Chen X. Si 26 4 0 24 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Deep Contrastive Multiview Network Embedding Mengqi Zhang Yanqiao Zhu Qiang Liu Shu Wu Liang Wang 30 1 0 16 Aug 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis Yanqiao Zhu Hejie Cui Lifang He Lichao Sun Carl Yang 28 38 0 07 Jul 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 24 86 0 17 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 448 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 32 22 0 09 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 21 134 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 40 93 0 03 Jun 2021
CLEVE: Contrastive Pre-training for Event Extraction Ziqi Wang Xiaozhi Wang Xu Han Yankai Lin Lei Hou Zhiyuan Liu Peng Li Juan-Zi Li Jie Zhou 37 116 0 30 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 30 241 0 16 May 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 119 0 23 Mar 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 41 325 0 22 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 35 56 0 19 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 29 217 0 12 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 49 6 0 27 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 42 26 0 14 Jan 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 105 70 0 08 Jan 2021