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
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 38 15 0 14 Sep 2022
Jointly Contrastive Representation Learning on Road Network and Trajectory Zhenyu Mao Ziyue Li Dedong Li Lei Bai Rui Zhao AI4TS 28 48 0 14 Sep 2022
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection Yuan Shi 19 0 0 12 Sep 2022
Structure-Preserving Graph Representation Learning Ruiyi Fang Liangjiang Wen Zhao Kang Jianzhuang Liu 23 22 0 02 Sep 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity Kaize Ding E. Nouri Guoqing Zheng Huan Liu Ryen W. White 21 9 0 26 Aug 2022
Relational Self-Supervised Learning on Graphs Namkyeong Lee Dongmin Hyun Junseok Lee Chanyoung Park SSL 16 22 0 21 Aug 2022
Disentangled Contrastive Learning for Social Recommendation Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Jiaheng Zhang 32 67 0 18 Aug 2022
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion Zhaoxuan Tan Zilong Chen Shangbin Feng Qingyue Zhang Qinghua Zheng Jundong Li Minnan Luo 32 36 0 16 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 18 7 0 15 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity Hongliang Chi Yao Ma SSL 37 3 0 13 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 28 11 0 04 Aug 2022
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning Yuehui Han Le Hui Haobo Jiang J. Qian Jin Xie SSL 21 13 0 25 Jul 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning Haoran Yang Xiangyu Zhao Muyang Li Hongxu Chen Guandong Xu FedML 25 2 0 24 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 21 24 0 14 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 70 0 13 Jul 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning Adnan Ali Jinlong Li OOD 24 7 0 05 Jul 2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning Haoran Yang Hongxu Chen Sixiao Zhang Xiangguo Sun Qian Li Xiangyu Zhao Guandong Xu SSL 42 24 0 01 Jul 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 31 14 0 26 Jun 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering Tong Wang Guanyu Yang Qijia He Zhenquan Zhang Junhua Wu 14 4 0 16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 21 93 0 16 Jun 2022
Evaluating Graph Generative Models with Contrastively Learned Features Hamed Shirzad Kaveh Hassani Danica J. Sutherland 16 7 0 13 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 30 36 0 09 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Iriwn King 36 90 0 09 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs Teng Xiao Zhengyu Chen Zhimeng Guo Zeyang Zhuang Suhang Wang BDL SSL 23 18 0 07 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 17 82 0 06 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 39 26 0 06 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 38 12 0 31 May 2022
COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing Yuchen Yan Yada Zhu Hanghang Tong 24 21 0 31 May 2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification Liang Zeng Lanqing Li Zi-Chao Gao P. Zhao Jian Li 27 22 0 23 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 45 546 0 22 May 2022
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders Jintang Li Ruofan Wu Wangbin Sun Liang Chen Sheng Tian Liang Zhu Changhua Meng Zibin Zheng Weiqiang Wang SSL 24 79 0 20 May 2022
Hyperspectral Image Classification With Contrastive Graph Convolutional Network Wentao Yu Sheng Wan Guangyu Li Jian Yang Chen Gong 40 25 0 11 May 2022
Simple Contrastive Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu GNN 43 110 0 11 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 16 44 0 10 May 2022
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation Yuansheng Wang Wangbin Sun Kun Xu Zulun Zhu Liang Chen Zibin Zheng 21 4 0 02 May 2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning Cuiying Huo Dongxiao He Peican Zhu Di Jin Jianwu Dang Weixiong Zhang Witold Pedrycz Lingfei Wu SSL 25 3 0 30 Apr 2022
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning Yun Zhu Jianhao Guo Fei Wu Siliang Tang 27 22 0 29 Apr 2022
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 28 304 0 26 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 30 31 0 11 Apr 2022
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou 11 9 0 11 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment Junseok Lee Yunhak Oh Yeonjun In Namkyeong Lee Dongmin Hyun Chanyoung Park 24 12 0 04 Apr 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 28 11 0 29 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach Jiawei Sun Ruoxin Chen Jie Li Chentao Wu Yue Ding Junchi Yan 29 0 0 24 Mar 2022
Supervised Contrastive Learning with Structure Inference for Graph Classification Hao Jia Junzhong Ji Minglong Lei 6 11 0 15 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Qing Cui Jun Zhou Jianzhong Wen 20 8 0 03 Mar 2022
Improved Dual Correlation Reduction Network Yue Liu Sihang Zhou Xinwang Liu Wenxuan Tu Xihong Yang 26 22 0 25 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 30 79 0 17 Feb 2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation Wei Wei Chao Huang Lianghao Xia Yong-mei Xu Jiashu Zhao Dawei Yin 29 160 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 27 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