Heterogeneous data augmentation in graph contrastive learning for effective negative samples-Reference-Cited by-同舟云学术

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Heterogeneous data augmentation in graph contrastive learning for effective negative samples

Published:2024-08 Issue: Volume:118 Page:109304
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Ali Adnan^ORCID,Li Jinlong,Chen Huanhuan

Funder

Chinese Academy of Sciences

The World Academy of Sciences

University of Science and Technology of China

Publisher

Elsevier BV

Reference30 articles.

1. Features based adaptive augmentation for graph contrastive learning;Ali;Digit Signal Process,2023

2. Deep graph contrastive representation learning;Zhu,2020

3. COSTA: Covariance-preserving feature augmentation for graph contrastive learning;Zhang,2022

4. Graph contrastive learning with adaptive augmentation;Zhu,2021

5. Generating news image captions with semantic discourse extraction and contrastive style-coherent learning;Zhang;Comput Electr Eng,2022

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