Learning Sparse Graphs Under Smoothness Prior

Learning Sparse Graphs Under Smoothness Prior

12 September 2016

Papers citing "Learning Sparse Graphs Under Smoothness Prior"

19 / 19 papers shown

Title
Learning Sheaf Laplacian Optimizing Restriction Maps Leonardo Di Nino Sergio Barbarossa P. Di Lorenzo 61 0 0 31 Jan 2025
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data Óscar Escudero-Arnanz C. Soguero-Ruíz Antonio G. Marques AI4TS 41 0 0 01 Nov 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 51 0 0 02 Mar 2024
Hypergraph Structure Inference From Data Under Smoothness Prior Bohan Tang Siheng Chen Xiaowen Dong 41 5 0 27 Aug 2023
Towards Model-Agnostic Federated Learning over Networks Alexander Jung S. Abdurakhmanova A. Jung FedML 31 4 0 08 Feb 2023
Learning Product Graphs from Spectral Templates A. Einizade S. H. Sardouie 30 6 0 05 Nov 2022
Online Graph Learning from Social Interactions Valentina Shumovskaia K. Ntemos Stefan Vlaski Ali H. Sayed 22 6 0 11 Mar 2022
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 43 27 0 06 Dec 2021
Accelerated Graph Learning from Smooth Signals S. S. Saboksayr Gonzalo Mateos 39 22 0 19 Oct 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 33 0 0 12 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks H. Sahbi 3DH GNN 21 3 0 09 Apr 2021
Online Graph Learning under Smoothness Priors S. S. Saboksayr Gonzalo Mateos Müjdat Çetin 32 16 0 05 Mar 2021
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 61 17 0 31 Dec 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 24 156 0 31 Jul 2020
Time-Varying Graph Learning with Constraints on Graph Temporal Variation Koki Yamada Yuichi Tanaka Antonio Ortega AI4TS 21 43 0 10 Jan 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 31 23 0 02 Jan 2020
Blind Community Detection from Low-rank Excitations of a Graph Filter Hoi-To Wai Santiago Segarra Asuman E. Ozdaglar Anna Scaglione Ali Jadbabaie 13 44 0 05 Sep 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 29 375 0 03 Jun 2018
Bias-Variance Tradeoff of Graph Laplacian Regularizer Pin-Yu Chen Sijia Liu 29 19 0 02 Jun 2017