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Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

Neural Information Processing Systems (NeurIPS), 2022

3 June 2022

Philip S. Yu

Papers citing "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination"

50 / 56 papers shown

Title
Dual-Kernel Graph Community Contrastive Learning Xiang Chen Kun Yue Wenjie Liu Zhenyu Zhang Liang Duan 24 0 0 11 Nov 2025
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models Yongqi Huang Jitao Zhao Dongxiao He Xiaobao Wang Yawen Li Yuxiao Huang Di Jin Zhiyong Feng VLM 152 0 0 26 Sep 2025
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits Shan Shen Shenglu Hua Jiajun Zou Jiawei Liu Jianwang Zhai Chuan Shi Wenjian Yu 241 0 0 09 Jul 2025
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation Meng Qin Jiahong Liu Irwin King 165 1 0 27 May 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 344 1 0 16 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2025 Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 410 2 0 13 Mar 2025
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph ReasoningNeural Information Processing Systems (NeurIPS), 2024 Jiapu Wang Kai Sun Linhao Luo Wei Wei Yongli Hu Alan Wee-Chung Liew Shirui Pan Baocai Yin 302 31 0 31 Dec 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised LearningKnowledge Discovery and Data Mining (KDD), 2024 Xinyi Gao Yayong Li Tong Chen Guanhua Ye Feiyu Xiong Hongzhi Yin 353 5 0 26 Nov 2024
Bi-Level Graph Structure Learning for Next POI RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Liang Wang Shu Wu Qiang Liu Yinlin Zhu Xiang Tao Hao Fei Shu Wu 218 14 0 02 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of GraphsNeural Networks (NN), 2024 Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 256 3 0 02 Nov 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality EstimationInternational Conference on Information and Knowledge Management (CIKM), 2024 Shiyuan Li Yixin Liu Qingfeng Chen Geoffrey I. Webb Shirui Pan SSL 171 12 0 29 Jul 2024
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning Wenjie Yang Shengzhong Zhang Jiaxing Guo Zengfeng Huang 95 1 0 25 Jul 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 168 14 0 22 Jul 2024
Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger EmbeddingsInternational Workshop on Information Forensics and Security (WIFS), 2024 Xiangyu Zhao Hanzhou Wu Xinpeng Zhang 110 3 0 19 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 138 8 0 06 Jun 2024
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification Gexin Huang Chenfei Wu Mingjie Li Xiaojun Chang Ling-Hao Chen Ying Sun Shen Zhao Xiaodan Liang Liang Lin MedIm 139 1 0 05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 176 12 0 05 Jun 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 177 28 0 27 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 349 17 0 22 May 2024
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection Jindong Li Qianli Xing Zhiqiang Zhang Yi Chang ViT 126 15 0 03 May 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 179 0 0 19 Apr 2024
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs Sunwoo Kim Shinhwan Kang Fanchen Bu Soo Yong Lee Jaemin Yoo Kijung Shin SSL 135 18 0 31 Mar 2024
Online GNN Evaluation Under Test-time Graph Distribution ShiftsInternational Conference on Learning Representations (ICLR), 2024 Xin-Yang Zheng Dongjin Song Qingsong Wen Bo Du Shirui Pan 138 13 0 15 Mar 2024
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed HypergraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 A. Bazaga Pietro Lio G. Micklem 216 7 0 11 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 233 11 0 09 Feb 2024
End-to-end Learnable Clustering for Intent Learning in RecommendationNeural Information Processing Systems (NeurIPS), 2024 Yue Liu Shihao Zhu Jun Xia Yingwei Ma Jian Ma Wenliang Zhong Xinwang Liu Guannan Zhang Kejun Zhang 264 28 0 11 Jan 2024
GOODAT: Towards Test-time Graph Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Luzhi Wang Dongxiao He He Zhang Yixin Liu Wenjie Wang Shirui Pan Di Jin Tat-Seng Chua OODD OOD 194 20 0 10 Jan 2024
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 140 9 0 19 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 160 0 0 08 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023 Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 283 4 0 08 Dec 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023 Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 177 16 0 05 Nov 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance DecompositionNeural Information Processing Systems (NeurIPS), 2023 Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 414 21 0 28 Oct 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without LabelsNeural Information Processing Systems (NeurIPS), 2023 Xin-Yang Zheng Miao Zhang C. Chen Soheila Molaei Chuan Zhou Shirui Pan GNN 244 19 0 23 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionIndustrial Conference on Data Mining (IDM), 2023 Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 262 28 0 18 Oct 2023
Reasoning on Graphs: Faithful and Interpretable Large Language Model ReasoningInternational Conference on Learning Representations (ICLR), 2023 Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan RALM LRM 435 367 0 02 Oct 2023
Local Structure-aware Graph Contrastive Representation LearningNeural Networks (Neural Netw.), 2023 Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 212 11 0 07 Aug 2023
LightPath: Lightweight and Scalable Path Representation LearningKnowledge Discovery and Data Mining (KDD), 2023 Sean Bin Yang Jilin Hu Chenjuan Guo B. Yang Christian S. Jensen 174 40 0 19 Jul 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone GraphsInternational Conference on Machine Learning (ICML), 2023 Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 175 45 0 13 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free DataNeural Information Processing Systems (NeurIPS), 2023 Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 214 80 0 05 Jun 2023
Oversmoothing: A Nightmare for Graph Contrastive Learning? Jintang Li Wangbin Sun Ruofan Wu Yuchang Zhu Liang Chen Zibin Zheng 140 2 0 03 Jun 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 126 10 0 30 May 2023
Learning Strong Graph Neural Networks with Weak InformationKnowledge Discovery and Data Mining (KDD), 2023 Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 121 58 0 29 May 2023
Dink-Net: Neural Clustering on Large GraphsInternational Conference on Machine Learning (ICML), 2023 Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 351 71 0 28 May 2023
Dual Intent Enhanced Graph Neural Network for Session-based New Item RecommendationThe Web Conference (WWW), 2023 Di Jin Luzhi Wang Yizhen Zheng Guojie Song Fei Jiang Xiang Li Jialin Li Shirui Pan 112 37 0 10 May 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan BDL 160 37 0 17 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph LearnerThe Web Conference (WWW), 2023 Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 142 147 0 10 Apr 2023
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report GenerationComputer Vision and Pattern Recognition (CVPR), 2023 Mingjie Li Bingqian Lin Zicong Chen Haokun Lin Xiaodan Liang Xiaojun Chang MedIm 175 173 0 18 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning FrameworkEuropean Conference on Artificial Intelligence (ECAI), 2023 Zhenshuo Zhang Yun Zhu Haizhou Shi Siliang Tang 141 1 0 09 Mar 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic GraphsThe Web Conference (WWW), 2023 Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 185 44 0 23 Feb 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily DiscriminatingAAAI Conference on Artificial Intelligence (AAAI), 2022 Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 135 96 0 25 Nov 2022