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
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 22 1 0 30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 22 45 0 30 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 13 6 0 16 Sep 2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks Simiao Zuo Haoming Jiang Qingyu Yin Xianfeng Tang Bing Yin Tuo Zhao 14 0 0 15 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 33 15 0 14 Sep 2022
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction Yufeng Zhang Weiqing Wang Hongzhi Yin Pengpeng Zhao Wei Chen Lei Zhao Soochow University 14 14 0 03 Sep 2022
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion Han Wu Jie Yin B. Rajaratnam Jianyuan Guo 8 8 0 02 Sep 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 16 1 0 01 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice H. Oh 32 3 0 01 Sep 2022
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning Li Sun Junda Ye Hao Peng Philip S. Yu 18 26 0 30 Aug 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
Heterogeneous Graph Masked Autoencoders Yijun Tian Kaiwen Dong Chunhui Zhang Chuxu Zhang Nitesh V. Chawla 22 74 0 21 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 27 22 0 21 Aug 2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries Xiao Liu Shiyu Zhao Kai Su Yukuo Cen J. Qiu Mengdi Zhang Wei Yu Wu Yuxiao Dong Jie Tang 33 57 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
Motif-based Graph Representation Learning with Application to Chemical Molecules Yifei Wang Shiyang Chen Guobin Chen Ethan Shurberg Hang Liu Pengyu Hong GNN 17 13 0 09 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 26 11 0 04 Aug 2022
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs Xiaohan Xu Peng Zhang Yongquan He Chengpeng Chao Chaoyang Yan 13 58 0 28 Jul 2022
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning Yuehui Han Le Hui Haobo Jiang J. Qian Jin Xie SSL 14 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 18 2 0 24 Jul 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs Ciwan Ceylan Kambiz Ghoorchian Danica Kragic 25 1 0 20 Jul 2022
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs Rui Jiao Jiaqi Han Wenbing Huang Yu Rong Yang Liu AI4CE 28 45 0 18 Jul 2022
Towards a General Pre-training Framework for Adaptive Learning in MOOCs Qingyang Zhong Jifan Yu Zheyuan Zhang Yiming Mao Yuquan Wang Yankai Lin Lei Hou Juanzi Li Jie Tang CLL AI4CE 20 4 0 18 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 28 24 0 01 Jul 2022
Geometry Contrastive Learning on Heterogeneous Graphs Shichao Zhu Chuan Zhou Anfeng Cheng Shirui Pan Shuaiqiang Wang Dawei Yin Bin Wang SSL 25 1 0 25 Jun 2022
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training Xueyi Liu Yu Rong Tingyang Xu Fuchun Sun Wen-bing Huang Junzhou Huang 11 0 0 23 Jun 2022
SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction Qizhi Pei Lijun Wu Jinhua Zhu Yingce Xia Shufang Xia Tao Qin Haiguang Liu Tie-Yan Liu Rui Yan 11 19 0 20 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 19 93 0 16 Jun 2022
Evaluating Graph Generative Models with Contrastively Learned Features Hamed Shirzad Kaveh Hassani Danica J. Sutherland 14 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 27 36 0 09 Jun 2022
Hard Negative Sampling Strategies for Contrastive Representation Learning Afrina Tabassum Muntasir Wahed Hoda Eldardiry Ismini Lourentzou SSL 25 24 0 02 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 38 12 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 36 0 0 31 May 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu Xiaoying Gan Lina Yang Weinan Zhang Luoyi Fu Xinbing Wang CLL 11 27 0 27 May 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation Yijun Tian Chuxu Zhang Zhichun Guo Chao Huang Ronald A Metoyer Nitesh V. Chawla 25 26 0 24 May 2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification Liang Zeng Lanqing Li Zi-Chao Gao P. Zhao Jian Li 17 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 40 540 0 22 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 11 5 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
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 23 303 0 26 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 29 131 0 18 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 20 31 0 11 Apr 2022
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification Angelica I. Aviles-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb DiffM MedIm 16 17 0 04 Apr 2022
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision Sijie Cheng Zhouhong Gu Bang Liu Rui Xie Wei Yu Wu Yanghua Xiao 8 9 0 28 Mar 2022
Improving Contrastive Learning with Model Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Man Luo Philip S. Yu Caiming Xiong 20 11 0 25 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 21 0 0 24 Mar 2022
Unsupervised Network Embedding Beyond Homophily Zhiqiang Zhong Guadalupe Gonzalez Daniele Grattarola Jun Pang OODD GNN 14 6 0 21 Mar 2022
SoK: Differential Privacy on Graph-Structured Data Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis 19 14 0 17 Mar 2022