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Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning.

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Title: Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning.
Authors: Fu, Sichao1 (AUTHOR), Peng, Qinmu1 (AUTHOR), He, Yange2 (AUTHOR), Du, Baokun2 (AUTHOR), Zou, Bin3 (AUTHOR), Jing, Xiao-Yuan4 (AUTHOR), You, Xinge1 (AUTHOR) youxg@hust.edu.cn
Source: SCIENCE CHINA Information Sciences. Mar2025, Vol. 68 Issue 3, p1-14. 14p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22SCIENCE+CHINA+Information+Sciences%22">SCIENCE CHINA Information Sciences</searchLink>. Mar2025, Vol. 68 Issue 3, p1-14. 14p.
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        Value: 10.1007/s11432-023-3939-1
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        Text: English
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      – TitleFull: Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning.
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              Text: Mar2025
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              Y: 2025
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