Learning graph from graph signals: An approach based on sensitivity analysis over a deep learning framework-Reference-Cited by-同舟云学术

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Learning graph from graph signals: An approach based on sensitivity analysis over a deep learning framework

Published:2023-01 Issue: Volume:260 Page:110159
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Roshanfekr Behnam^ORCID,Amirmazlaghani Maryam,Rahmati Mohammad

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference69 articles.

1. On spectral clustering: Analysis and an algorithm;Ng,2001

2. Robust subspace clustering;Soltanolkotabi;Ann. Statist.,2014

3. Multi-view spectral clustering by simultaneous consensus graph learning and discretization;Zhong;Knowl.-Based Syst.,2022

4. Multi-graph fusion for multi-view spectral clustering;Kang;Knowl.-Based Syst.,2020

5. Low-rank kernel learning for graph-based clustering;Kang;Knowl.-Based Syst.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Rank Constrained Approach for Graph Learning from Spatio-Temporal Signals;2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2023-10-28

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