Stationary signal processing on graphs

11 January 2016

Papers citing "Stationary signal processing on graphs"

35 / 35 papers shown

Title
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches Alexandre Hippert-Ferrer Aude Sportisse A. Javaheri Mohammed Nabil El Korso Daniel P. Palomar AI4TS 50 0 0 02 Jun 2025
Spatiotemporal Covariance Neural Networks Andrea Cavallo Mohammad Sabbaqi Elvin Isufi 78 3 0 16 Sep 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 66 11 0 28 Mar 2024
Locally Stationary Graph Processes Abdullah Canbolat Elif Vural 53 1 0 04 Sep 2023
Propagation on Multi-relational Graphs for Node Regression Eda Bayram 58 1 0 15 Oct 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 76 6 0 31 May 2021
Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization S. Cuomo W. Erb G. Santin 65 3 0 02 Mar 2021
Synthesizing Decentralized Controllers with Graph Neural Networks and Imitation Learning Fernando Gama Qingbiao Li Ekaterina V. Tolstaya Amanda Prorok Alejandro Ribeiro AI4CE 103 28 0 29 Dec 2020
Estimation of Shortest Path Covariance Matrices R. Maity Cameron Musco 24 0 0 19 Nov 2020
Joint Inference of Multiple Graphs from Matrix Polynomials Madeline Navarro Yuhao Wang A. Marques Caroline Uhler Santiago Segarra 63 31 0 16 Oct 2020
Multivariate Relations Aggregation Learning in Social Networks Jin Xu Shuo Yu Keyi Sun Jing Ren I. Lee Shirui Pan Xiwei Xu 41 39 0 09 Aug 2020
Gated Graph Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 101 145 0 03 Feb 2020
Graph Learning Under Partial Observability Vincenzo Matta A. Santos Ali H. Sayed 98 0 0 18 Dec 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 86 24 0 08 Apr 2019
Gated Graph Convolutional Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 91 30 0 05 Mar 2019
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 102 172 0 29 Oct 2018
Stationary Geometric Graphical Model Selection I. Soloveychik Vahid Tarokh 127 0 0 10 Jun 2018
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers Fernando Gama Alejandro Ribeiro 67 15 0 12 Mar 2018
Multi-dimensional Graph Fourier Transform T. Kurokawa Taihei Oki H. Nagao 44 19 0 21 Dec 2017
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation Abolfazl Hashemi Rasoul Shafipour H. Vikalo Gonzalo Mateos 47 6 0 31 Oct 2017
A Time-Vertex Signal Processing Framework Francesco Grassi Andreas Loukas Nathanael Perraudin B. Ricaud 61 174 0 05 May 2017
Greedy Sampling of Graph Signals Luiz F. O. Chamon Alejandro Ribeiro 90 127 0 05 Apr 2017
Multilinear Low-Rank Tensors on Graphs & Applications N. Shahid Francesco Grassi P. Vandergheynst 41 4 0 15 Nov 2016
Stationary time-vertex signal processing Andreas Loukas Nathanael Perraudin 93 48 0 01 Nov 2016
Adaptive Graph-based Total Variation for Tomographic Reconstructions Faisal Mahmood N. Shahid U. Skoglund P. Vandergheynst 86 37 0 04 Oct 2016
Predicting the evolution of stationary graph signals Andreas Loukas Nathanael Perraudin 44 14 0 12 Jul 2016
Towards stationary time-vertex signal processing Nathanael Perraudin Andreas Loukas Francesco Grassi P. Vandergheynst 87 45 0 22 Jun 2016
Reconstructing undirected graphs from eigenspaces Yohann De Castro T. Espinasse Paul Rochet 61 8 0 26 Mar 2016
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 85 67 0 10 Mar 2016
How to learn a graph from smooth signals Vassilis Kalofolias 98 516 0 11 Jan 2016
Fast Robust PCA on Graphs N. Shahid Nathanael Perraudin Vassilis Kalofolias Gilles Puy P. Vandergheynst 99 110 0 29 Jul 2015
A Probabilistic Interpretation of Sampling Theory of Graph Signals Akshay Gadde Antonio Ortega 109 73 0 23 Mar 2015
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems N. Komodakis J. Pesquet 111 398 0 20 Jun 2014
UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods Nathanael Perraudin Gilles Puy D. Shuman P. Vandergheynst 124 65 0 04 Feb 2014
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 147 3,989 0 31 Oct 2012