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. 1601.02522
  4. Cited By
Stationary signal processing on graphs

Stationary signal processing on graphs

11 January 2016
Nathanael Perraudin
P. Vandergheynst
ArXivPDFHTML

Papers citing "Stationary signal processing on graphs"

18 / 18 papers shown
Title
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
29
3
0
16 Sep 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Jhon A. Castro-Correa
Jhony H. Giraldo
Mohsen Badiey
Fragkiskos D. Malliaros
46
7
0
28 Mar 2024
Graph Filter Transfer via Probability Density Ratio Weighting
Graph Filter Transfer via Probability Density Ratio Weighting
Koki Yamada
21
2
0
26 Oct 2022
Propagation on Multi-relational Graphs for Node Regression
Propagation on Multi-relational Graphs for Node Regression
Eda Bayram
29
1
0
15 Oct 2021
Joint Inference of Multiple Graphs from Matrix Polynomials
Joint Inference of Multiple Graphs from Matrix Polynomials
Madeline Navarro
Yuhao Wang
A. Marques
Caroline Uhler
Santiago Segarra
22
29
0
16 Oct 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
26
141
0
03 Feb 2020
DeepSphere: towards an equivariant graph-based spherical CNN
DeepSphere: towards an equivariant graph-based spherical CNN
M. Defferrard
Nathanael Perraudin
T. Kacprzak
R. Sgier
GNN
34
24
0
08 Apr 2019
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
26
169
0
29 Oct 2018
On the Dual Geometry of Laplacian Eigenfunctions
On the Dual Geometry of Laplacian Eigenfunctions
A. Cloninger
Stefan Steinerberger
20
8
0
25 Apr 2018
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Fernando Gama
Alejandro Ribeiro
33
15
0
12 Mar 2018
Sampling and Reconstruction of Graph Signals via Weak Submodularity and
  Semidefinite Relaxation
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
Abolfazl Hashemi
Rasoul Shafipour
H. Vikalo
Gonzalo Mateos
25
6
0
31 Oct 2017
Greedy Sampling of Graph Signals
Greedy Sampling of Graph Signals
Luiz F. O. Chamon
Alejandro Ribeiro
19
126
0
05 Apr 2017
Adaptive Graph-based Total Variation for Tomographic Reconstructions
Adaptive Graph-based Total Variation for Tomographic Reconstructions
Faisal Mahmood
N. Shahid
U. Skoglund
P. Vandergheynst
27
37
0
04 Oct 2016
Predicting the evolution of stationary graph signals
Predicting the evolution of stationary graph signals
Andreas Loukas
Nathanael Perraudin
19
13
0
12 Jul 2016
Towards stationary time-vertex signal processing
Towards stationary time-vertex signal processing
Nathanael Perraudin
Andreas Loukas
Francesco Grassi
P. Vandergheynst
33
45
0
22 Jun 2016
Reconstructing undirected graphs from eigenspaces
Reconstructing undirected graphs from eigenspaces
Yohann De Castro
T. Espinasse
Paul Rochet
24
8
0
26 Mar 2016
Global and Local Uncertainty Principles for Signals on Graphs
Global and Local Uncertainty Principles for Signals on Graphs
Nathanael Perraudin
B. Ricaud
D. Shuman
P. Vandergheynst
30
66
0
10 Mar 2016
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
24
109
0
29 Jul 2015
1