Large Scale Graph Learning from Smooth Signals

16 October 2017

Papers citing "Large Scale Graph Learning from Smooth Signals"

14 / 14 papers shown

Title
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 26 5 0 15 Dec 2023
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 33 3 0 23 Nov 2023
Hypergraph Structure Inference From Data Under Smoothness Prior Bohan Tang Siheng Chen Xiaowen Dong 36 5 0 27 Aug 2023
Free Lunch for Privacy Preserving Distributed Graph Learning Nimesh Agrawal Nikita Malik Sandeep Kumar 24 0 0 18 May 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks Soumyasundar Pal Antonios Valkanas Florence Regol Mark J. Coates SSL 32 16 0 22 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 53 22 0 30 Jan 2022
Distributed Graph Learning with Smooth Data Priors Isabela Cunha Maia Nobre Mireille El Gheche P. Frossard 28 2 0 11 Dec 2021
Accelerated Graph Learning from Smooth Signals S. S. Saboksayr Gonzalo Mateos 39 22 0 19 Oct 2021
Bayesian Graph Convolutional Network for Traffic Prediction Jun Fu Wei Zhou Zhibo Chen GNN BDL 16 8 0 01 Apr 2021
Online Graph Learning under Smoothness Priors S. S. Saboksayr Gonzalo Mateos Müjdat Çetin 24 16 0 05 Mar 2021
Graph topology inference benchmarks for machine learning Carlos Lassance Vincent Gripon Gonzalo Mateos 21 4 0 16 Jul 2020
Graph Laplacian mixture model Hermina Petric Maretic P. Frossard 17 25 0 23 Oct 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016