GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

17 June 2020

J. Qiu

Qibin Chen

Yuxiao Dong

Jing Zhang

Hongxia Yang

Papers citing "GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training"

50 / 369 papers shown

Title
Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention Hongyan Ran Caiyan Jia OOD 11 20 0 20 Mar 2023
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 12 2 0 11 Mar 2023
Mask-guided BERT for Few Shot Text Classification Wenxiong Liao Zheng Liu Haixing Dai Zihao Wu Yiyang Zhang ... Dajiang Zhu Tianming Liu Sheng R. Li Xiang Li Hongmin Cai VLM 36 39 0 21 Feb 2023
Heterogeneous Social Event Detection via Hyperbolic Graph Representations Zitai Qiu Jia Wu Jian Yang Xing Su Charu C. Aggarwal 22 3 0 20 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Yuanhai Lv Lining Xing Baosheng Yu Dacheng Tao 48 4 0 19 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 19 135 0 16 Feb 2023
Practical Cross-System Shilling Attacks with Limited Access to Data Meifang Zeng Kedan Li Bing Jiang Liujuan Cao Hui Li AAML 4 8 0 14 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai M. Lin Xiang Zhang Suhang Wang AAML 16 47 0 11 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark J. Coates 16 7 0 06 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 20 16 0 02 Feb 2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks Wendong Bi Bingbing Xu Xiaoqian Sun Zidong Wang Huawei Shen Xueqi Cheng AI4TS 32 31 0 31 Jan 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 26 30 0 29 Jan 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun Phillip S. Yu SSL CLL 16 5 0 28 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 24 1 0 28 Jan 2023
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks Chen Pang Xuequan Lu Lei Lyu 28 20 0 27 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 19 5 0 26 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 30 10 0 14 Jan 2023
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials Kishalay Das Bidisha Samanta Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 10 16 0 14 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends Jie Gui Tuo Chen Jing Zhang Qiong Cao Zhe Sun Haoran Luo Dacheng Tao 29 120 0 13 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Y. Choi Chong-Kwon Kim 26 3 0 12 Jan 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 22 10 0 07 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 22 7 0 28 Dec 2022
Refined Edge Usage of Graph Neural Networks for Edge Prediction Jiarui Jin Yangkun Wang Weinan Zhang Quan Gan Xiang Song Yong Yu Zheng-Wei Zhang David Wipf 23 2 0 25 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 16 8 0 20 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 6 33 0 15 Dec 2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning Xumeng Gong Cheng Yang Chuan Shi VLM 14 41 0 14 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 34 4 0 13 Dec 2022
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu Yu Rong Zhuoning Guo Nuo Chen Tingyang Xu Fugee Tsung Jia Li 33 11 0 12 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 17 9 0 08 Dec 2022
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples Jiawei Zhu Mei Hong R. Du Haifeng Li 26 3 0 08 Dec 2022
Self-supervised Graph Representation Learning for Black Market Account Detection Zequan Xu Lianyun Li Hui Li Qihang Sun Shaofeng Hu Rongrong Ji 4 1 0 06 Dec 2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan Siwei Wang Pei Zhang En Zhu Jingtao Hu Huan Jin Yue Liu Zhibin Dong 28 79 0 01 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness Jingcan Duan Bin Xiao Siwei Wang Haifang Zhou Xinwang Liu AI4TS 20 10 0 28 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 31 70 0 25 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 37 125 0 23 Nov 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Hong Wang Jieyu Zhang Qi Zhu Wei Huang Kenji Kawaguchi X. Xiao 28 11 0 20 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 20 0 12 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 19 53 0 08 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 25 4 0 01 Nov 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 17 2 0 27 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 25 1 0 21 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 11 39 0 19 Oct 2022
DAGAD: Data Augmentation for Graph Anomaly Detection Fanzhen Liu Xiaoxiao Ma Jia Wu Jian Yang Shan Xue Amin Beheshti Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal 21 43 0 18 Oct 2022
Contrastive Trajectory Similarity Learning with Dual-Feature Attention Yanchuan Chang Jianzhong Qi Yuxuan Liang E. Tanin 14 33 0 11 Oct 2022
Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang Xiao Wang Chuan Shi Le Song 76 31 0 06 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 25 12 0 05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 41 36 0 30 Sep 2022