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
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Jing Ren Mingliang Hou Zhixuan Liu Xiaomei Bai 36 1 0 12 May 2025
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng 27 0 0 07 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning Rui Lv Z. Zhang Kai Zhang Qi Liu Weibo Gao J. H. Liu Jiaxia Yan Linan Yue Fangzhou Yao 104 0 0 04 May 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 35 0 0 16 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 26 0 0 07 Apr 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions Haihong Zhao Chenyi Zi Aochuan Chen Jia Li 67 0 0 14 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 106 0 0 13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Y. Wang Wenqi Fan Suhang Wang Yao Ma 41 1 0 13 Mar 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach Qian Zeng Xin Lin Jingyi Gao Yang Yu 68 0 0 09 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning Amadou S. Sangare Nicolas Dunou Jhony H. Giraldo Fragkiskos D. Malliaros SSL 62 0 0 28 Feb 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs Li Ju Xingyi Yang Qi Li Xinchao Wang 42 0 0 26 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 42 1 0 20 Feb 2025
GCoT: Chain-of-Thought Prompt Learning for Graphs Xingtong Yu Chang Zhou Zhongwei Kuai Xinming Zhang Yuan Fang LRM 56 2 0 12 Feb 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 45 0 0 17 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 33 1 0 08 Jan 2025
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model Haozhen Zhang Haodong Yue Xi Xiao Le Yu Qing Li Z. Ling Ye Zhang 26 0 0 08 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Hanghang Tong Jingrui He 48 5 0 31 Dec 2024
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 56 4 0 31 Dec 2024
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Van Thuy Hoang O-Joun Lee AI4CE 80 1 0 20 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 71 0 0 18 Dec 2024
SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning Tiantian Liang Zhe Yang 67 0 0 16 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li Hongyuan Zhang Yuan Yuan 70 0 0 15 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Jiliang Tang AI4CE 56 0 0 30 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 85 2 0 26 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 39 9 0 09 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 38 1 0 06 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 38 9 0 01 Nov 2024
Can Self Supervision Rejuvenate Similarity-Based Link Prediction? Chenhan Zhang Weiqi Wang Zhiyi Tian James Jianqiao Yu Mohamed Ali Kaafar An Liu Shui Yu SSL 13 0 0 24 Oct 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space Zhenyu Lin Hongzheng Li Yingxia Shao Guanhua Ye Yawen Li Quanqing Xu 26 0 0 20 Oct 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model Tianqianjin Lin Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Jun Lin Weikang Yuan Junjie Cao Changlong Sun Xiaozhong Liu AI4CE 30 0 0 19 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples Yuntao Shou Xiangyong Cao Deyu Meng 28 9 0 14 Oct 2024
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training Zhou Zhang Dongzeng Tan Jiaan Wang Yilong Chen Jiarong Xu 19 0 0 22 Sep 2024
Efficient Network Embedding by Approximate Equitable Partitions G. Squillace M. Tribastone Max Tschaikowski Andrea Vandin 19 0 0 16 Sep 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 26 7 0 25 Aug 2024
Disentangled Generative Graph Representation Learning Xinyue Hu Zhibin Duan Xinyang Liu Yuxin Li Bo Chen Mingyuan Zhou 33 0 0 24 Aug 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Huan-jing Zhao Beining Yang Yukuo Cen Junyu Ren Chenhui Zhang Yuxiao Dong Evgeny Kharlamov Shu Zhao Jie Tang VLM 49 7 0 22 Jul 2024
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks Zhenhua Huang Kunhao Li Shaojie Wang Zhaohong Jia Wentao Zhu Sharad Mehrotra GNN 36 0 0 16 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 22 3 0 04 Jul 2024
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection Yali Fu Jindong Li Jiahong Liu Qianli Xing Qi Wang Irwin King 40 1 0 02 Jul 2024
Heterogeneous Graph Contrastive Learning with Spectral Augmentation Jing Zhang Xiaoqian Jiang Yingjie Xie Cangqi Zhou 31 0 0 30 Jun 2024
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction Zhongxiang Fan Zhaocheng Liu Jian Liang Dongying Kong Han Li Peng Jiang Shuang Li Kun Gai 35 0 0 27 Jun 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation Ge Chen Yulan Hu Sheng Ouyang Yong Liu Cuicui Luo 31 0 0 25 Jun 2024
TopoGCL: Topological Graph Contrastive Learning Yuzhou Chen José Frías Yulia R. Gel 29 8 0 25 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 40 4 0 19 Jun 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models Yi Fang Dongzhe Fan Daochen Zha Qiaoyu Tan 37 9 0 17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 25 10 0 15 Jun 2024
A Unified Graph Selective Prompt Learning for Graph Neural Networks Bo Jiang Hao Wu Ziyan Zhang Beibei Wang Jin Tang 42 1 0 15 Jun 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis Zongyue Qin Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Ziniu Hu Yizhou Sun Jason Cong 23 1 0 13 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models Shichang Zhang Da Zheng Jiani Zhang Qi Zhu Xiang Song Soji Adeshina Christos Faloutsos George Karypis Yizhou Sun VLM 16 1 0 13 Jun 2024
Road Network Representation Learning with the Third Law of Geography Haicang Zhou Weiming Huang Yile Chen Tiantian He Gao Cong Yew-Soon Ong 19 4 0 06 Jun 2024