Graph Contrastive Learning with Adaptive Augmentation

27 October 2020

Qiang Liu

Liang Wang

Papers citing "Graph Contrastive Learning with Adaptive Augmentation"

50 / 426 papers shown

Title
Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie Zhao Xu Shuiwang Ji SSL 22 30 0 16 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 21 218 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun-Xiong Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 22 65 0 14 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 17 418 0 13 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 18 13 0 11 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun-Xiong Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 11 278 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 10 36 0 07 Feb 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 51 21 0 24 Jan 2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing Xiangyu Song Jianxin Li Qiuyu Lei Wei-Ye Zhao Yunliang Chen Ajmal Saeed Mian AI4Ed 17 174 0 22 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 20 5 0 21 Jan 2022
Fair Node Representation Learning via Adaptive Data Augmentation Öykü Deniz Köse Yanning Shen 14 31 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
Dual Space Graph Contrastive Learning Haoran Yang Hongxu Chen Shirui Pan Lin Li Philip S. Yu Guandong Xu 24 52 0 19 Jan 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 22 129 0 17 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 28 45 0 14 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 23 45 0 14 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
Multilayer Graph Contrastive Clustering Network Liang Liu Zhao Kang Ling Tian Wenbo Xu Xixu He 13 15 0 28 Dec 2021
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 25 7 0 23 Dec 2021
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 26 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
Siamese Attribute-missing Graph Auto-encoder Wenxuan Tu Sihang Zhou Yue Liu Xinwang Liu 9 7 0 09 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 45 52 0 05 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 34 0 01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 25 3 0 29 Oct 2021
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 11 7 0 28 Oct 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
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
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
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 47 143 0 21 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 41 27 0 08 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 16 167 0 02 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation H. Tang Guoshuai Zhao Yuxia Wu Xueming Qian 25 32 0 01 Sep 2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning Yanqiao Zhu Yichen Xu Hejie Cui Carl Yang Qiang Liu Shu Wu 16 9 0 31 Aug 2021
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? Xu Liu Yuxuan Liang Chao Huang Yu Zheng Bryan Hooi Roger Zimmermann AI4TS 18 60 0 26 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 34 42 0 24 Aug 2021
Jointly Learnable Data Augmentations for Self-Supervised GNNs Zekarias T. Kefato Sarunas Girdzijauskas Hannes Stärk SSL 25 4 0 23 Aug 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks Feng Sun Ajith Kumar Guanci Yang Qikui Zhu Yiyun Zhang Ansi Zhang Dhruv Makwana SSL GNN 36 0 0 17 Aug 2021
Deep Contrastive Multiview Network Embedding Mengqi Zhang Yanqiao Zhu Qiang Liu Shu Wu Liang Wang 22 1 0 16 Aug 2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Philip S. Yu Julian McAuley Caiming Xiong 12 164 0 14 Aug 2021
Locality Relationship Constrained Multi-view Clustering Framework Xiangzhu Meng Wei Wei Wenzhe Liu 15 0 0 11 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 20 36 0 07 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
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 22 211 0 23 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 21 86 0 17 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 21 3 0 15 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 24 447 0 10 Jun 2021