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Negative sampling strategies for contrastive self-supervised learning of graph representations

Signal Processing, 2022
Mounir Ghogho   +2 more
exaly  

Negative samples selecting strategy for graph contrastive learning

Information Sciences, 2022
Jiliang Tang, Yao Ma, Yintao Yang
exaly  

Dual-channel graph contrastive learning for self-supervised graph-level representation learning

Pattern Recognition, 2023
Minnan Luo, Qinghua Zheng, Zhenfei Luo
exaly  

SMGCL: Semi-supervised Multi-view Graph Contrastive Learning

Knowledge-Based Systems, 2023
Maoguo Gong, Yuan Gao, Zhongying Zhao
exaly  

Graph contrastive learning with implicit augmentations

Neural Networks, 2023
Junbin Gao, Huidong Liang
exaly  

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning

ACM Transactions on Knowledge Discovery From Data
Yuhui Yuan, Xiao Luo, Wei Ju
exaly  

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

IEEE Transactions on Knowledge and Data Engineering
Xinwang Liu, Wenxuan Tu, Xiangjun Dong
exaly  

Cross-scale contrastive triplet networks for graph representation learning

Pattern Recognition
Yanwei Pang, Lei Geng, Yanbei Liu
exaly  

Graph contrastive learning with min-max mutual information

Information Sciences
Yuhua Xu, Junli Wang, Jiang Changjun
exaly  

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