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. 2209.02043
  4. Cited By
Large Graph Signal Denoising with Application to Differential Privacy

Large Graph Signal Denoising with Application to Differential Privacy

5 September 2022
Elie Chedemail
Basile de Loynes
F. Navarro
Baptiste Olivier
ArXiv (abs)PDFHTML

Papers citing "Large Graph Signal Denoising with Application to Differential Privacy"

12 / 12 papers shown
Title
Graph signal processing for machine learning: A review and new
  perspectives
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
83
167
0
31 Jul 2020
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)
D. Shuman
50
45
0
19 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising
  Perspectives
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives
Guoji Fu
Buse Giledereli
Jian Zhang
Kaili Ma
Barakeel Fanseu Kamhoua
James Cheng
51
18
0
08 Jun 2020
Improving the Gaussian Mechanism for Differential Privacy: Analytical
  Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
87
413
0
16 May 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,331
0
07 Jun 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
815
3,298
0
24 Nov 2016
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
Oscar Hernan Madrid Padilla
James G. Scott
James Sharpnack
Robert Tibshirani
FedML
90
67
0
11 Aug 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
365
7,681
0
30 Jun 2016
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
157
1,587
0
16 Jun 2015
A Review of Relational Machine Learning for Knowledge Graphs
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
189
1,580
0
02 Mar 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
233
4,884
0
21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
138
3,984
0
31 Oct 2012
1