A Time-Vertex Signal Processing Framework

5 May 2017

Papers citing "A Time-Vertex Signal Processing Framework"

29 / 29 papers shown

Title
Multi-Output Gaussian Processes for Graph-Structured Data Ayano Nakai-Kasai Tadashi Wadayama 154 0 0 22 May 2025
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 76 11 0 28 Mar 2024
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 120 16 0 24 Oct 2023
Edgewise outliers of network indexed signals Christopher Rieser A. Ruiz-Gazen C. Thomas-Agnan 14 0 0 20 Jul 2023
Learning Product Graphs from Spectral Templates A. Einizade S. H. Sardouie 48 6 0 05 Nov 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis Mohammad Sabbaqi Elvin Isufi GNN AI4TS 76 16 0 30 Jun 2022
Collaborative likelihood-ratio estimation over graphs Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 60 1 0 28 May 2022
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 70 522 0 13 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 51 15 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 105 28 0 29 Dec 2020
A User Guide to Low-Pass Graph Signal Processing and its Applications Raksha Ramakrishna Hoi-To Wai Anna Scaglione 64 58 0 04 Aug 2020
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries Jay S. Stanley III Eric C. Chi Zhengchao Wan 59 24 0 30 Jun 2020
Gated Graph Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 101 146 0 03 Feb 2020
Gated Graph Convolutional Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 106 30 0 05 Mar 2019
Stationary time-vertex signal processing Andreas Loukas Nathanael Perraudin 110 48 0 01 Nov 2016
Predicting the evolution of stationary graph signals Andreas Loukas Nathanael Perraudin 49 14 0 12 Jul 2016
Towards stationary time-vertex signal processing Nathanael Perraudin Andreas Loukas Francesco Grassi P. Vandergheynst 95 45 0 22 Jun 2016
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets Francesco Grassi Nathanael Perraudin B. Ricaud 28 10 0 21 Jun 2016
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 85 67 0 10 Mar 2016
Autoregressive Moving Average Graph Filtering Elvin Isufi Andreas Loukas Andrea Simonetto G. Leus 156 245 0 14 Feb 2016
Frequency Analysis of Temporal Graph Signals Andreas Loukas Damien Foucard 56 22 0 14 Feb 2016
Stationary signal processing on graphs Nathanael Perraudin P. Vandergheynst 118 238 0 11 Jan 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 111 110 0 29 Jul 2015
Distributed Autoregressive Moving Average Graph Filters Andreas Loukas Andrea Simonetto G. Leus 58 98 0 24 Apr 2015
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 149 3,989 0 31 Oct 2012
Chebyshev Polynomial Approximation for Distributed Signal Processing D. Shuman P. Vandergheynst P. Frossard 117 155 0 10 May 2011
Stein Block Thresholding For Image Denoising C. Chesneau Jalal Fadili Jean-Luc Starck 114 96 0 20 Sep 2008