GMNI: Achieve good data augmentation in unsupervised graph contrastive learning

Xin Xiong; Xiangyu Wang; Suorong Yang; Furao Shen; Jian Zhao

doi:10.1016/j.neunet.2024.106804

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JOURNAL ARTICLE

GMNI: Achieve good data augmentation in unsupervised graph contrastive learning

Xin Xiong Xiangyu Wang Suorong Yang Furao Shen Jian Zhao

Year: 2024 Journal: Neural Networks Vol: 181 Pages: 106804-106804 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2024.106804

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Keywords:

Computer science Artificial intelligence Graph Unsupervised learning Pattern recognition (psychology) Natural language processing Theoretical computer science

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Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

GMNI: Achieve good data augmentation in unsupervised graph contrastive learning

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