A Graph-Assisted Framework for Multiple Graph Learning-Reference-Cited by-同舟云学术

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A Graph-Assisted Framework for Multiple Graph Learning

Published:2024 Issue: Volume:10 Page:162-178
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Zhang Xiang¹^ORCID,Wang Qiao¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Southeast University, Nanjing, China

Funder

EUSIPCO2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6884276/10380708/10387579.pdf?arnumber=10387579

Reference58 articles.

1. Representation learning on graphs: Methods and applications;Hamilton,2017

2. Introduction to Graph Signal Processing

3. Sparse inverse covariance estimation with the graphical lasso

4. Learning Graphs From Data: A Signal Representation Perspective

5. A Comprehensive Survey on Graph Neural Networks

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1. A dual Laplacian framework with effective graph learning for unified fair spectral clustering;Neurocomputing;2024-10

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