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Large Scale Graph Learning from Smooth Signals

16 October 2017

Papers citing "Large Scale Graph Learning from Smooth Signals"

35 / 35 papers shown

Title
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors Benjamin T. Brown Haoxiang Zhang Daniel L. Lau Gonzalo R. Arce 126 0 0 04 Apr 2025
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 66 1 0 07 Nov 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 78 1 0 13 Feb 2024
Optimizing $k$ in $k$ NN Graphs with Graph Learning Perspective Asuka Tamaru Junya Hara Hiroshi Higashi Yuichi Tanaka Antonio Ortega 54 2 0 16 Jan 2024
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 105 6 0 15 Dec 2023
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 75 3 0 23 Nov 2023
Hypergraph Structure Inference From Data Under Smoothness Prior Bohan Tang Siheng Chen Xiaowen Dong 220 5 0 27 Aug 2023
Graph Laplacian Learning with Exponential Family Noise Changhao Shi Zhengchao Wan 61 2 0 14 Jun 2023
Free Lunch for Privacy Preserving Distributed Graph Learning Nimesh Agrawal Nikita Malik Sandeep Kumar 46 0 0 18 May 2023
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models Ziheng Cheng Junzi Zhang Akshay Agrawal Stephen P. Boyd 49 0 0 04 May 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 75 3 0 09 Feb 2023
Node Copying: A Random Graph Model for Effective Graph Sampling Florence Regol Soumyasundar Pal Jianing Sun Yingxue Zhang Yanhui Geng Mark Coates 75 5 0 04 Aug 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks Soumyasundar Pal Antonios Valkanas Florence Regol Mark Coates SSL 66 17 0 22 Feb 2022
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals Ghania Fatima A. Arora P. Babu Petre Stoica 55 7 0 06 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 118 24 0 30 Jan 2022
Distributed Graph Learning with Smooth Data Priors Isabela Cunha Maia Nobre Mireille El Gheche P. Frossard 65 2 0 11 Dec 2021
Sparse Graph Learning Under Laplacian-Related Constraints Jitendra Tugnait 80 12 0 16 Nov 2021
Accelerated Graph Learning from Smooth Signals S. S. Saboksayr Gonzalo Mateos 61 23 0 19 Oct 2021
Distributionally Robust Graph Learning from Smooth Signals under Moment Uncertainty Xiaolu Wang Yuen-Man Pun Anthony Man-Cho So OOD 30 6 0 12 May 2021
Bayesian Graph Convolutional Network for Traffic Prediction Jun Fu Wei Zhou Zhibo Chen GNN BDL 123 9 0 01 Apr 2021
Online Graph Learning under Smoothness Priors S. S. Saboksayr Gonzalo Mateos Müjdat Çetin 56 18 0 05 Mar 2021
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks Sai Munikoti Laya Das Balasubramaniam Natarajan 59 3 0 26 Dec 2020
Representing Deep Neural Networks Latent Space Geometries with Graphs Carlos Lassance Vincent Gripon Antonio Ortega AI4CE 58 15 0 14 Nov 2020
Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting Jun Fu Wei Zhou Zhibo Chen GNN AI4TS 51 11 0 15 Oct 2020
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint Xingyue Pu Siu Lun Chau Xiaowen Dong Dino Sejdinovic 31 21 0 23 Aug 2020
Graph topology inference benchmarks for machine learning Carlos Lassance Vincent Gripon Gonzalo Mateos 95 4 0 16 Jul 2020
Non-Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal Saber Malekmohammadi Florence Regol Yingxue Zhang Yishi Xu Mark Coates 66 11 0 23 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 114 420 0 21 Jun 2020
Learning Product Graphs Underlying Smooth Graph Signals M. Lodhi W. Bajwa 46 9 0 26 Feb 2020
Deep Iterative and Adaptive Learning for Graph Neural Networks Yu Chen Lingfei Wu Mohammed J Zaki GNN 57 48 0 17 Dec 2019
GRASPEL: Graph Spectral Learning at Scale Yongyu Wang Zhiqiang Zhao Zhuo Feng 396 4 0 23 Nov 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning Soumyasundar Pal Florence Regol Mark Coates BDL GNN 63 13 0 26 Oct 2019
Mask Combination of Multi-layer Graphs for Global Structure Inference Eda Bayram D. Thanou Elif Vural P. Frossard 50 6 0 22 Oct 2019
Neighborhood and Graph Constructions using Non-Negative Kernel Regression Sarath Shekkizhar Antonio Ortega 468 1 0 21 Oct 2019
Graph Laplacian mixture model Hermina Petric Maretic P. Frossard 69 26 0 23 Oct 2018