Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

20 November 2021

Ming Jin

Papers citing "Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming"

17 / 17 papers shown

Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 143 0 0 08 May 2025
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction Ruochen Li Stamos Katsigiannis Tae-Kyun Kim Hubert P. H. Shum 92 1 0 20 Feb 2025
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems Siyuan Chen Xin Du Jiahai Wang 49 0 0 18 Jan 2024
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
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 27 3 0 07 Aug 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun-Xiong Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 30 54 0 28 May 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 25 16 0 17 Oct 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 31 169 0 21 Sep 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 14 95 0 03 Jun 2022
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer Wen-Rang Zhang Ling Yang Shijia Geng Shenda Hong ViT AI4TS 37 40 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 18 13 0 11 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 24 0 0 30 Jan 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 22 129 0 17 Jan 2022
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 19 543 0 27 Feb 2021
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020