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
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Mouxiang Chen Zemin Liu Chenghao Liu Jundong Li Qiheng Mao Jianling Sun AAML 25 11 0 23 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 26 0 0 23 Oct 2023
Unified Pretraining for Recommendation via Task Hypergraphs Mingdai Yang Zhiwei Liu Liangwei Yang Xiao-lin Liu Chen Wang Hao Peng Philip S. Yu 8 12 0 20 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 32 18 0 18 Oct 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng ... Tianyi Zhang Ningtao Wang Xin Fu Qi Li Weiqiang Wang SSL 23 1 0 17 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning Yulan Hu Zhirui Yang Ouyang Sheng Yong Liu 19 1 0 17 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 29 26 0 11 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 17 12 0 05 Oct 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao Xiao Luo Meng Xiao Hao Dong Yuanchun Zhou Hui Xiong OOD 67 22 0 19 Sep 2023
Deep Prompt Tuning for Graph Transformers Reza Shirkavand Heng-Chiao Huang 23 7 0 18 Sep 2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference Songyu Ke Ting Li Li Song Yanping Sun Qintian Sun Junbo Zhang Yu Zheng SSL 16 2 0 06 Sep 2023
Graph Self-Contrast Representation Learning Minjie Chen Yao Cheng Ye Wang Xiangci Li Ming Gao SSL 15 1 0 05 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 22 2 0 31 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing Mehdi Azabou Venkataraman Ganesh S. Thakoor Chi-Heng Lin Lakshmi Sathidevi Ran Liu Michal Valko Petar Velickovic Eva L. Dyer 16 20 0 17 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 30 10 0 14 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 18 8 0 29 Jul 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Bin Cui Hongzhi Yin 11 8 0 28 Jul 2023
Self-Contrastive Graph Diffusion Network Yixuan Ma Kun Zhan 22 4 0 27 Jul 2023
Learning to Group Auxiliary Datasets for Molecule Ting Huang Ziniu Hu Rex Ying 11 0 0 08 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 28 6 0 06 Jul 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation Yuwei Cao Liangwei Yang Chen Wang Zhiwei Liu Hao Peng Chenyu You Philip S. Yu 18 21 0 26 Jun 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 52 8 0 24 Jun 2023
Directional diffusion models for graph representation learning Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 20 12 0 22 Jun 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 22 11 0 22 Jun 2023
Contrastive Disentangled Learning on Graph for Node Classification Xiaojuan Zhang Jun Fu Shuang Li SSL 8 1 0 20 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 36 23 0 18 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 24 22 0 16 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 25 14 0 14 Jun 2023
Automated 3D Pre-Training for Molecular Property Prediction Xu Wang Huan Zhao Weiwei Tu Quanming Yao AI4CE 21 35 0 13 Jun 2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs Haozhen Zhang Xueting Han Xi Xiao Jing Bai 19 8 0 13 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 6 1 0 06 Jun 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 17 1 0 06 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs Z. Yang Tinglin Huang Ming Ding Yuxiao Dong Rex Ying Yukuo Cen Yangli-ao Geng Jie Tang SSL VLM 26 8 0 06 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran H. Zhao Qiu Qiang Pan Li OOD AI4CE 16 33 0 05 Jun 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications Han Xie Da Zheng Jun Ma Houyu Zhang V. Ioannidis ... Sheng Wang Carl Yang Yi Xu Belinda Zeng Trishul M. Chilimbi AI4CE 22 35 0 05 Jun 2023
Exploring Self-supervised Logic-enhanced Training for Large Language Models Fangkai Jiao Zhiyang Teng Bosheng Ding Zhengyuan Liu Nancy F. Chen Shafiq R. Joty ReLM LRM 19 4 0 23 May 2023
PRODIGY: Enabling In-context Learning Over Graphs Qian Huang Hongyu Ren Peng Chen Gregor Krvzmanc D. Zeng Percy Liang J. Leskovec 15 67 0 21 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 21 18 0 20 May 2023
Patton: Language Model Pretraining on Text-Rich Networks Bowen Jin Wentao Zhang Yu Zhang Yu Meng Xinyang Zhang Qi Zhu Jiawei Han VLM 32 44 0 20 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 18 1 0 18 May 2023
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization Haohui Wang Baoyu Jing Kaize Ding Yada Zhu Wei Cheng Si Zhang Yonghui Fan Liqing Zhang Dawei Zhou 40 6 0 17 May 2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training Ziwei Fan Zhiwei Liu Shelby Heinecke Jianguo Zhang Haiquan Wang Caiming Xiong Philip S. Yu VLM 11 14 0 12 May 2023
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation Chenzhang Shang Yupeng Hou Wayne Xin Zhao Yaliang Li Jing Zhang 29 11 0 04 May 2023
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities Yi Luo Xing Yi Liu Kai Yang Kui Huang Massimo Hong Jiahuan Zhang Yushuai Wu Zaiqing Nie OffRL 32 4 0 17 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 25 141 0 11 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 21 102 0 10 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 19 27 0 06 Apr 2023
RARE: Robust Masked Graph Autoencoder Wenxuan Tu Qing Liao Sihang Zhou Xin Peng Chuan Ma Zhe Liu Xinwang Liu Zhiping Cai 29 12 0 04 Apr 2023
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! Yu Cao Jiarong Xu Carl Yang Jiaan Wang Yunchao Zhang Chunping Wang L. Chen Yang Yang 16 16 0 29 Mar 2023
Hybrid Augmented Automated Graph Contrastive Learning Yifu Chen Qianqian Ren Liu Yong 31 1 0 24 Mar 2023