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"

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Title
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 23 6 0 05 Jun 2024
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng OODD 37 2 0 25 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 47 12 0 20 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 37 7 0 17 May 2024
Hi-GMAE: Hierarchical Graph Masked Autoencoders Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu Shirui Pan Bo Du AI4CE 44 0 0 17 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 95 21 0 15 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang Wei Zhou Yifei Sun Kaiqiao Han Lvbin Ma Yang Yang 32 7 0 07 May 2024
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection Jindong Li Qianli Xing Qi Wang Yi Chang ViT 21 6 0 03 May 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 25 7 0 28 Apr 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 49 4 0 24 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu Dawei Yin Qing Li AI4CE 26 23 0 23 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Philip S. Yu AI4CE 29 1 0 23 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 34 1 0 19 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Zhenzhong Wang Qingyuan Zeng Wanyu Lin Min Jiang Kay Chen Tan SSL 32 2 0 19 Apr 2024
Cross-Problem Learning for Solving Vehicle Routing Problems Zhuoyi Lin Yaoxin Wu Bangjian Zhou Zhiguang Cao Wen Song Yingqian Zhang Senthilnath Jayavelu 36 10 0 17 Apr 2024
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning Ming Cheng Bowen Zhang Ziyu Wang Ziyi Zhou Weiqi Feng Yi Lyu Xingjian Diao 36 2 0 11 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide Sunwoo Kim Soo Yong Lee Yue Gao Alessia Antelmi Mirko Polato Kijung Shin GNN AI4TS 29 17 0 01 Apr 2024
Exploring Task Unification in Graph Representation Learning via Generative Approach Yulan Hu Ouyang Sheng Zhirui Yang Ge Chen Junchen Wan Xiao Wang Yong Liu 21 2 0 21 Mar 2024
Open-World Semi-Supervised Learning for Node Classification Yanling Wang Jing Zhang Lingxi Zhang Lixin Liu Yuxiao Dong Cuiping Li Hong Chen Hongzhi Yin BDL 35 0 0 18 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 30 0 0 13 Mar 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning Bingqian Lin Yanxin Long Yi Zhu Fengda Zhu Xiaodan Liang QiXiang Ye Liang Lin 27 5 0 09 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 40 12 0 08 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 28 9 0 27 Feb 2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering Peijie Sun Le Wu Kun Zhang Xiangzhi Chen Mengdi Wang 26 20 0 18 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation Xinjian Zhao Liang Zhang Yang Liu Ruocheng Guo Xiangyu Zhao 19 0 0 16 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 14 4 0 16 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 36 6 0 14 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh V. Chawla 19 1 0 12 Feb 2024
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning Haozhen Zhang Xi Xiao Le Yu Qing Li Z. Ling Ye Zhang 14 2 0 12 Feb 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity Liang Wang Xiang Tao Qiang Liu Shu Wu Liang Wang 34 13 0 11 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection Enyan Dai Min Lin Suhang Wang 26 2 0 06 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun-Xiong Xia Bozhen Hu Stan Z. Li 41 6 0 04 Feb 2024
Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo Xiao Wang Shaohua Fan Chuan Shi 24 14 0 23 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 19 2 0 06 Jan 2024
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks Enbo He Yitong Hao Yue Zhang Guisheng Yin Lina Yao 25 4 0 03 Jan 2024
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces Li Sun Junda Ye Jiawei Zhang Yong Yang Mingsheng Liu Feiyang Wang Philip S. Yu 34 5 0 02 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 31 2 0 27 Dec 2023
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 37 12 0 21 Dec 2023
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 23 2 0 19 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 28 9 0 13 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 27 0 0 12 Dec 2023
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs Kacper Kapusniak Manuel Burger Gunnar Rätsch Amir Joudaki 16 0 0 06 Dec 2023
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning Xingtong Yu Yuan Fang Zemin Liu Xinming Zhang 19 35 0 04 Dec 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 25 51 0 28 Nov 2023
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs Xingtong Yu Chang Zhou Yuan Fang Xinming Zhang 20 29 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 38 0 0 19 Nov 2023
HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment Zhanting Zhou Kejun Bi Yuyanzhen Zhong Chao Tang Dongfen Li Shi Ying Ruijin Wang 29 0 0 07 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 31 14 0 02 Nov 2023
Positional Encoding-based Resident Identification in Multi-resident Smart Homes Zhiyi Song Dipankar Chaki Abdallah Lakhdari A. Bouguettaya 13 2 0 27 Oct 2023