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
Supervised Contrastive Learning with Structure Inference for Graph Classification Hao Jia Junzhong Ji Minglong Lei 6 11 0 15 Mar 2022
Protein Representation Learning by Geometric Structure Pretraining Zuobai Zhang Minghao Xu Arian R. Jamasb Vijil Chenthamarakshan A. Lozano Payel Das Jian Tang SSL 11 215 0 11 Mar 2022
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision Jun Zhuang M. Hasan AAML 21 42 0 07 Mar 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning Weixin Liang Yuhui Zhang Yongchan Kwon Serena Yeung James Y. Zou VLM 40 385 0 03 Mar 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon John Palowitch Dustin Zelle Ziniu Hu Ruslan Salakhutdinov Bryan Perozzi 28 13 0 03 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Zhiqiang Zhang Jun Zhou Jianzhong Wen 10 8 0 03 Mar 2022
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs Xiao Liu Haoyun Hong Xinghao Wang Zeyi Chen Evgeny Kharlamov Yuxiao Dong Jie Tang SSL 11 72 0 02 Mar 2022
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning Fangkai Jiao Yangyang Guo Xuemeng Song Liqiang Nie LRM 31 35 0 01 Mar 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 16 35 0 23 Feb 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs Rajarshi Das Ameya Godbole Ankita Rajaram Naik Elliot Tower Robin Jia Manzil Zaheer Hannaneh Hajishirzi Andrew McCallum 17 53 0 22 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 22 12 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 29 159 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 19 22 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 13 18 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 19 218 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 19 96 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
Learning to Discover Medicines T. Nguyen Thin Nguyen T. Tran 22 1 0 14 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 12 65 0 14 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 10 13 0 11 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 16 1 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 22 3 0 07 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Yan Zhang 20 5 0 31 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 43 21 0 24 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation Sixiao Zhang Hongxu Chen Xiangguo Sun Yicong Li Guandong Xu AAML SSL 23 42 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 19 32 0 20 Jan 2022
Dual Space Graph Contrastive Learning Haoran Yang Hongxu Chen Shirui Pan Lin Li Philip S. Yu Guandong Xu 16 52 0 19 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 19 61 0 04 Jan 2022
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 23 7 0 23 Dec 2021
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning Thilini Cooray Ngai-man Cheung 11 6 0 16 Dec 2021
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 21 10 0 16 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 19 23 0 14 Dec 2021
A Self-supervised Mixed-curvature Graph Neural Network Li Sun Zhongbao Zhang Junda Ye Hao Peng Jiawei Zhang Sen Su Philip S. Yu SSL 28 33 0 10 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Yang Liu Keze Wang Lingbo Liu Hao Lan Liang Lin SSL AI4TS 40 113 0 07 Dec 2021
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning Qibin Chen Jeremy Lacomis Edward J. Schwartz Graham Neubig Bogdan Vasilescu Claire Le Goues VLM 11 33 0 05 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 60 203 0 05 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 16 21 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 22 6 0 04 Dec 2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems Weibin Li Mingkai He Zhengjie Huang Xianming Wang Shikun Feng Weiyue Su Yu Sun 15 4 0 02 Dec 2021
Source Free Unsupervised Graph Domain Adaptation Haitao Mao Lun Du Yujia Zheng Qiang Fu Zelin Li Xu Chen Shi Han Dongmei Zhang 6 7 0 02 Dec 2021
Network representation learning: A macro and micro view Xueyi Liu Jie Tang GNN AI4TS 17 23 0 21 Nov 2021
Pre-training Graph Neural Network for Cross Domain Recommendation Chen Wang Yueqing Liang Zhiwei Liu Tao Zhang Philip S. Yu 11 43 0 16 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 19 54 0 09 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 32 52 0 05 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 18 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
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 191 0 28 Oct 2021
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 19 57 0 28 Oct 2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding Mingyang Chen Wen Zhang Yushan Zhu Hongting Zhou Zonggang Yuan Changliang Xu Hua-zeng Chen 14 57 0 27 Oct 2021