Learning parametric dictionaries for graph signals

5 January 2014

Papers citing "Learning parametric dictionaries for graph signals"

22 / 22 papers shown

Title
Multi-Output Gaussian Processes for Graph-Structured Data Ayano Nakai-Kasai Tadashi Wadayama 154 0 0 22 May 2025
Fast Structured Orthogonal Dictionary Learning using Householder Reflections Anirudh Dash Aditya Siripuram 54 1 0 08 Jan 2025
Online Network Source Optimization with Graph-Kernel MAB Laura Toni P. Frossard 97 1 0 07 Jul 2023
Graph filtering over expanding graphs Bishwadeep Das Elvin Isufi 27 5 0 15 Mar 2022
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 73 6 0 18 Jun 2021
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut) D. Shuman 61 45 0 19 Jun 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 86 23 0 02 Jan 2020
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals Y. Yankelevsky Michael Elad 23 18 0 14 Jun 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 134 381 0 03 Jun 2018
Gaussian Processes Over Graphs Arun Venkitaraman Saikat Chatterjee P. Händel 69 39 0 15 Mar 2018
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering V. Ioannidis Daniel Romero G. Giannakis 63 30 0 25 Nov 2017
Graph learning under sparsity priors Hermina Petric Maretic D. Thanou P. Frossard CML 50 32 0 18 Jul 2017
Greedy Sampling of Graph Signals Luiz F. O. Chamon Alejandro Ribeiro 90 127 0 05 Apr 2017
Graph-based Isometry Invariant Representation Learning Renata Khasanova P. Frossard 115 55 0 01 Mar 2017
Learning heat diffusion graphs D. Thanou Xiaowen Dong D. Kressner P. Frossard 70 161 0 04 Nov 2016
Global and Local Uncertainty Principles for Signals on Graphs Nathanael Perraudin B. Ricaud D. Shuman P. Vandergheynst 85 67 0 10 Mar 2016
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection Pin-Yu Chen Sutanay Choudhury Alfred Hero 62 31 0 23 Dec 2015
Signal Representations on Graphs: Tools and Applications Siheng Chen R. Varma Aarti Singh J. Kovacevic 78 35 0 16 Dec 2015
Graph-based compression of dynamic 3D point cloud sequences D. Thanou P. Chou P. Frossard 3DPC 94 228 0 19 Jun 2015
Signal Processing on Graphs: Causal Modeling of Unstructured Data Jonathan Mei José M. F. Moura CML AI4TS 106 192 0 28 Feb 2015
Geodesic convolutional neural networks on Riemannian manifolds Jonathan Masci Davide Boscaini M. Bronstein P. Vandergheynst 84 60 0 26 Jan 2015
Learning Laplacian Matrix in Smooth Graph Signal Representations Xiaowen Dong D. Thanou P. Frossard P. Vandergheynst 204 28 0 30 Jun 2014