Graph Self-Supervised Learning: A Survey

27 February 2021

Ming Jin

Philip S. Yu

Papers citing "Graph Self-Supervised Learning: A Survey"

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Title
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 32 0 0 17 Apr 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 109 0 0 13 Mar 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 76 0 0 20 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 87 0 0 17 Feb 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges Aitor Sánchez-Ferrera Borja Calvo Jose A. Lozano AI4TS 40 0 0 28 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 53 0 0 17 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 56 5 0 31 Dec 2024
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer Yanqing Kang Di Zhu Haiyang Zhang Enze Shi Sigang Yu ... Xuan Liu Geng Chen Xi Jiang Tuo Zhang Shu Zhang 23 0 0 17 Sep 2024
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers Raika Karimi Faezeh Faez Yingxue Zhang Xing Li Lei Chen M. Yuan Mahdi Biparva 54 0 0 16 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 28 0 0 09 Sep 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 77 6 0 12 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 36 1 0 10 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 39 3 0 09 Jul 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 36 42 0 27 Jun 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation Ge Chen Yulan Hu Sheng Ouyang Yong Liu Cuicui Luo 41 0 0 25 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 34 0 0 14 Jun 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 29 0 0 14 Apr 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
Self-supervised Photographic Image Layout Representation Learning Zhaoran Zhao Peng Lu Xujun Peng Wenhao Guo SSL 40 0 0 06 Mar 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 58 1 0 28 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning Zhishuai Li Yunhao Nie Ziyue Li Lei Bai Yisheng Lv Rui Zhao 13 5 0 23 Jan 2024
Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo Xiao Wang Shaohua Fan Chuan Shi 32 14 0 23 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey Weining Weng Yang Gu Shuai Guo Yuan Ma Zhaohua Yang Yuchen Liu Yiqiang Chen 38 12 0 09 Jan 2024
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding K. Abdous Nairouz Mrabah Mohamed Bouguessa 25 4 0 28 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh V. Chawla 29 18 0 23 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
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 33 6 0 14 Sep 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 26 30 0 28 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 37 10 0 18 May 2023
Learning Cellular Coverage from Real Network Configurations using GNNs Yifei Jin Marios Daoutis Sarunas Girdzijauskas Aristides Gionis AI4TS 29 0 0 20 Apr 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 27 4 0 14 Mar 2023
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials Yuyang Wang Chang Xu Zijie Li A. Farimani AAML AI4CE 27 21 0 03 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 24 8 0 16 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 26 5 0 31 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 36 30 0 29 Jan 2023
A Survey on Protein Representation Learning: Retrospect and Prospect Lirong Wu Yu-Feng Huang H. Lin Stan Z. Li AI4TS 33 12 0 31 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Self-supervised Graph Representation Learning for Black Market Account Detection Zequan Xu Lianyun Li Hui Li Qihang Sun Shaofeng Hu Rongrong Ji 9 1 0 06 Dec 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 34 8 0 21 Nov 2022
Flaky Performances when Pretraining on Relational Databases Shengchao Liu David Vazquez Jian Tang Pierre-Andre Noel 28 2 0 09 Nov 2022
Line Graph Contrastive Learning for Link Prediction Zehua Zhang Shilin Sun Guixiang Ma Caiming Zhong 17 27 0 25 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 33 16 0 17 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 56 5 0 05 Oct 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 24 49 0 30 Sep 2022
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 41 15 0 14 Sep 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning Puja Trivedi Ekdeep Singh Lubana Mark Heimann Danai Koutra Jayaraman J. Thiagarajan 30 11 0 04 Aug 2022