ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.11220
  4. Cited By
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of
  Design Considerations, and Numerical Comparison (Extended Cut)

Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut)

19 June 2020
D. Shuman
ArXivPDFHTML

Papers citing "Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut)"

8 / 8 papers shown
Title
Efficient Learning of Balanced Signed Graphs via Iterative Linear
  Programming
Efficient Learning of Balanced Signed Graphs via Iterative Linear Programming
Haruki Yokota
Hiroshi Higashi
Yuichi Tanaka
Gene Cheung
18
0
0
12 Sep 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace
  Approach
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang
Wencai Cao
Hoang Ta
Xiaokui Xiao
Pietro Lió
41
3
0
12 Mar 2024
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
30
62
0
16 Nov 2022
Large Graph Signal Denoising with Application to Differential Privacy
Large Graph Signal Denoising with Application to Differential Privacy
Elie Chedemail
Basile de Loynes
F. Navarro
Baptiste Olivier
17
2
0
05 Sep 2022
Frames for Graph Signals on the Symmetric Group: A Representation
  Theoretic Approach
Frames for Graph Signals on the Symmetric Group: A Representation Theoretic Approach
Kathryn Beck
M. Ghandehari
14
2
0
06 Mar 2022
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Masatoshi Nagahama
Koki Yamada
Yuichi Tanaka
Stanley H. Chan
Yonina C. Eldar
18
18
0
30 Jun 2021
Joint Network Topology Inference via Structured Fusion Regularization
Joint Network Topology Inference via Structured Fusion Regularization
Yanli Yuan
D. Soh
Xiao Yang
Kun Guo
Tony Q. S. Quek
21
2
0
05 Mar 2021
Sampling Signals on Graphs: From Theory to Applications
Sampling Signals on Graphs: From Theory to Applications
Yuichi Tanaka
Yonina C. Eldar
Antonio Ortega
Gene Cheung
14
10
0
09 Mar 2020
1