Asymmetric Self-Supervised Graph Neural Networks-Reference-Cited by-同舟云学术

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Asymmetric Self-Supervised Graph Neural Networks

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Tan Zhuo¹,Liu Bin¹,Yin Guosheng²

Affiliation:

1. Southwestern University of Finance and Economics,School of Statistics,Chengdu,China

2. The University of Hong Kong,Department of Statistics and Actuarial Science,Hong Kong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10021033.pdf?arnumber=10021033

Reference55 articles.

1. Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization;sun;ICLRE,2020

2. Deep graph infomax;velickovic;ICLRE,2018

3. Inductive representation learning on large graphs;hamilton;NeurIPS,2017

4. MGAE

5. Simplifying graph convolutional networks;wu;ICML,2019

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1. Autistic Spectrum Disorders Diagnose with Graph Neural Networks;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

2. Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks;SSRN Electronic Journal;2023

3. Structure-Aware Covariance Estimation Using Graph Neural Networks;2023

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