Graph Contrastive Learning with Adaptive Augmentation

27 October 2020

Qiang Liu

Liang Wang

Papers citing "Graph Contrastive Learning with Adaptive Augmentation"

50 / 426 papers shown

Title
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 29 2 0 08 Dec 2023
Rethinking and Simplifying Bootstrapped Graph Latents Wangbin Sun Jintang Li Liang Chen Bingzhe Wu Yatao Bian Zibin Zheng 29 11 0 05 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 41 2 0 29 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 25 51 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 38 55 0 21 Nov 2023
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection Fan Xu Nan Wang Xuezhi Wen Meiqi Gao Chaoqun Guo Xibin Zhao 30 6 0 17 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 26 8 0 07 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 33 11 0 05 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 31 14 0 02 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 22 31 0 29 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 41 11 0 28 Oct 2023
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks Qingqing Ge Zeyuan Zhao Yiding Liu Anfeng Cheng Xiang Li Shuaiqiang Wang Dawei Yin 26 6 0 26 Oct 2023
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 29 49 0 25 Oct 2023
Balancing Augmentation with Edge-Utility Filter for Signed GNNs Ke-Jia Chen Yaming Ji Youran Qu Chuhan Xu 31 0 0 25 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning Yuxiang Wang Xiao Yan Chuang Hu Fangcheng Fu Wentao Zhang Hao Wang Shuo Shang Jiawei Jiang SSL 45 6 0 24 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 31 0 0 23 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei-dong Jin Hui Liu 33 3 0 20 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 34 121 0 19 Oct 2023
Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs Zhiwei Hu Víctor Gutiérrez-Basulto Zhiliang Xiang Ru Li Jeff Z. Pan 25 5 0 18 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 34 18 0 18 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning Yulan Hu Zhirui Yang Ouyang Sheng Yong Liu 21 1 0 17 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 25 1 0 15 Oct 2023
SGA: A Graph Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Shuyan Wan Sijie Wang Xianda Zheng Xinrui Zhang Kaiqi Zhao Jiamou Liu Dong Hao 16 1 0 15 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction Wentao Yu Shuo Chen Chen Gong Gang Niu Masashi Sugiyama ViT 39 2 0 11 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
Perfect Alignment May be Poisonous to Graph Contrastive Learning Jingyu Liu Huayi Tang Yong Liu 28 2 0 06 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 24 6 0 05 Oct 2023
Provable Training for Graph Contrastive Learning Yue Yu Tianlin Li Mengmei Zhang Nian Liu Chuan Shi 19 9 0 25 Sep 2023
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy Lin Ni Sijie Wang Zeyu Zhang Xiaoxuan Li Xianda Zheng Paul Denny J. Liu AI4Ed 17 12 0 23 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 28 19 0 20 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 36 0 0 15 Sep 2023
Hodge-Aware Contrastive Learning Alexander Mollers Alexander Immer Vincent Fortuin Elvin Isufi 35 1 0 14 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 24 2 0 06 Sep 2023
Graph Self-Contrast Representation Learning Minjie Chen Yao Cheng Ye Wang Xiangci Li Ming Gao SSL 26 1 0 05 Sep 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 33 1 0 28 Aug 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning Wenwen Qiang Changwen Zheng Jingyao Wang Changwen Zheng SSL 17 1 0 28 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 35 6 0 22 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 45 24 0 18 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 21 21 0 17 Aug 2023
CONVERT:Contrastive Graph Clustering with Reliable Augmentation Xihong Yang Cheng Tan Yue Liu K. Liang Siwei Wang Sihang Zhou Jun-Xiong Xia Stan Z. Li Xinwang Liu En Zhu 30 36 0 17 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number Yue Liu K. Liang Jun-Xiong Xia Xihong Yang Sihang Zhou Meng Liu Xinwang Liu Stan Z. Li GNN 32 26 0 13 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 30 3 0 07 Aug 2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information Liang Peng Xin Wang Xiao-lan Zhu 11 6 0 03 Aug 2023
Graph Contrastive Learning with Generative Adversarial Network Cheng Wu Chao-Hong Wang Jingcao Xu Ziyang Liu Kai Zheng Xiaowei Wang Yang Song Kun Gai GAN 18 21 0 01 Aug 2023
Self-Contrastive Graph Diffusion Network Yixuan Ma Kun Zhan 27 4 0 27 Jul 2023
Entropy Neural Estimation for Graph Contrastive Learning Yixuan Ma Xiaolin Zhang Peng Zhang Kun Zhan SSL 25 15 0 26 Jul 2023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning Yulin Zhu Xing Ai Yevgeniy Vorobeychik Kai Zhou AAML 21 0 0 24 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 41 11 0 22 Jul 2023
All in One: Multi-task Prompting for Graph Neural Networks Xiangguo Sun Hongtao Cheng Jia Li Bo Liu Jihong Guan LLMAG AI4CE 32 129 0 04 Jul 2023