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Structured Graph Learning Via Laplacian Spectral Constraints

Structured Graph Learning Via Laplacian Spectral Constraints

24 September 2019
Sandeep Kumar
Jiaxi Ying
J. Cardoso
Daniel P. Palomar
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Papers citing "Structured Graph Learning Via Laplacian Spectral Constraints"

5 / 5 papers shown
Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
16
0
0
14 May 2025
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
Ying Zhang
Zhiqiang Zhao
Zhuo Feng
38
2
0
09 Feb 2023
A Unified Framework for Optimization-Based Graph Coarsening
A Unified Framework for Optimization-Based Graph Coarsening
Manoj Kumar
Anurag Sharma
Surinder Kumar
13
10
0
02 Oct 2022
Fast Projected Newton-like Method for Precision Matrix Estimation under
  Total Positivity
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
Jian-Feng Cai
José Vinícius de Miranda Cardoso
Daniel P. Palomar
Jiaxi Ying
21
10
0
03 Dec 2021
Algorithms for Learning Graphs in Financial Markets
Algorithms for Learning Graphs in Financial Markets
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CML
AIFin
56
17
0
31 Dec 2020
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