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Signal Processing on Graphs: Causal Modeling of Unstructured Data

28 February 2015

Papers citing "Signal Processing on Graphs: Causal Modeling of Unstructured Data"

27 / 27 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 204 4 0 28 Oct 2024
Locally Stationary Graph Processes Abdullah Canbolat Elif Vural 62 1 0 04 Sep 2023
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 178 2 0 10 Jul 2023
Learning Product Graphs from Spectral Templates A. Einizade S. H. Sardouie 48 6 0 05 Nov 2022
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach Sérgio Machado Anirudh Sridhar P. Gil J. Henriques J. M. F. Moura A. Santos CML 51 2 0 08 Aug 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 123 19 0 26 May 2022
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate N. H. Phong A. Santos B. Ribeiro 73 8 0 20 May 2022
Graph filtering over expanding graphs Bishwadeep Das Elvin Isufi 37 5 0 15 Mar 2022
Online Graph Topology Learning from Matrix-valued Time Series Yiye Jiang Jérémie Bigot Sofian Maabout AI4TS 49 3 0 16 Jul 2021
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 89 356 0 03 May 2021
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting Boris N. Oreshkin A. Amini Lucy Coyle Mark Coates AI4TS 105 101 0 30 Jul 2020
Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models Thiernithi Variddhisai Danilo P. Mandic 34 3 0 10 Mar 2020
Time-Varying Graph Learning with Constraints on Graph Temporal Variation Koki Yamada Yuichi Tanaka Antonio Ortega AI4TS 96 43 0 10 Jan 2020
Graph Learning Under Partial Observability Vincenzo Matta A. Santos Ali H. Sayed 107 0 0 18 Dec 2019
Efficient structure learning with automatic sparsity selection for causal graph processes Théophile Griveau-Billion B. Calderhead CML 54 1 0 11 Jun 2019
EEG-based Emotional Video Classification via Learning Connectivity Structure Soobeom Jang Seong-Eun Moon Jong-Seok Lee 29 16 0 28 May 2019
Online Topology Identification from Vector Autoregressive Time Series Bakht Zaman Luis Miguel Lopez Ramos Daniel Romero B. Beferull-Lozano 94 41 0 03 Apr 2019
Energy Disaggregation via Deep Temporal Dictionary Learning Mahdi Khodayar Jianhui Wang Zhaoyu Wang 44 67 0 10 Sep 2018
Single Index Latent Variable Models for Network Topology Inference Jonathan Mei José M. F. Moura 37 0 0 28 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
Local Tomography of Large Networks under the Low-Observability Regime A. Santos Vincenzo Matta Ali H. Sayed 59 27 0 23 May 2018
Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification Hilmi E. Egilmez Eduardo Pavez Antonio Ortega 73 66 0 07 Mar 2018
Kernel-based Inference of Functions over Graphs V. Ioannidis Meng Ma A. Nikolakopoulos G. Giannakis Daniel Romero 81 29 0 28 Nov 2017
SILVar: Single Index Latent Variable Models Jonathan Mei José M. F. Moura 81 24 0 09 May 2017
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs Daniel Romero V. Ioannidis G. Giannakis 69 88 0 12 Dec 2016
Stationary time-vertex signal processing Andreas Loukas Nathanael Perraudin 119 48 0 01 Nov 2016
Towards stationary time-vertex signal processing Nathanael Perraudin Andreas Loukas Francesco Grassi P. Vandergheynst 103 45 0 22 Jun 2016