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How to learn a graph from smooth signals

How to learn a graph from smooth signals

11 January 2016
Vassilis Kalofolias
ArXivPDFHTML

Papers citing "How to learn a graph from smooth signals"

50 / 170 papers shown
Title
Graph Learning Across Data Silos
Graph Learning Across Data Silos
Xiang Zhang
Qiao Wang
24
1
0
17 Jan 2023
Complete the Missing Half: Augmenting Aggregation Filtering with
  Diversification for Graph Convolutional Neural Networks
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Chenqing Hua
Xiao-Wen Chang
Doina Precup
GNN
21
33
0
21 Dec 2022
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph
  Learning with Attentive Temporal Aggregation
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
A. Einizade
S. Nasiri
S. H. Sardouie
G. Clifford
21
14
0
09 Dec 2022
Joint graph learning from Gaussian observations in the presence of
  hidden nodes
Joint graph learning from Gaussian observations in the presence of hidden nodes
Samuel Rey
Madeline Navarro
Andrei Buciulea
Santiago Segarra
A. Marques
CML
23
4
0
04 Dec 2022
Learning Transition Operators From Sparse Space-Time Samples
Learning Transition Operators From Sparse Space-Time Samples
C. Kümmerle
Mauro Maggioni
Sui Tang
26
1
0
01 Dec 2022
Discovering Influencers in Opinion Formation over Social Graphs
Discovering Influencers in Opinion Formation over Social Graphs
Valentina Shumovskaia
Mert Kayaalp
Mert Cemri
Ali H. Sayed
18
8
0
23 Nov 2022
Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
Siyi Tang
Jared A. Dunnmon
Liangqiong Qu
Khaled Kamal Saab
T. Baykaner
Christopher Lee-Messer
D. Rubin
30
21
0
21 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
46
63
0
16 Nov 2022
Methods for Recovering Conditional Independence Graphs: A Survey
Methods for Recovering Conditional Independence Graphs: A Survey
H. Shrivastava
Urszula Chajewska
CML
27
11
0
13 Nov 2022
pyGSL: A Graph Structure Learning Toolkit
pyGSL: A Graph Structure Learning Toolkit
Max Wasserman
Gonzalo Mateos
45
0
0
07 Nov 2022
Learning Product Graphs from Spectral Templates
Learning Product Graphs from Spectral Templates
A. Einizade
S. H. Sardouie
30
6
0
05 Nov 2022
Learning Hypergraphs From Signals With Dual Smoothness Prior
Learning Hypergraphs From Signals With Dual Smoothness Prior
Bohan Tang
Siheng Chen
Xiaowen Dong
57
8
0
03 Nov 2022
Learning Graphical Factor Models with Riemannian Optimization
Learning Graphical Factor Models with Riemannian Optimization
Alexandre Hippert-Ferrer
Florent Bouchard
A. Mian
Titouan Vayer
A. Breloy
30
9
0
21 Oct 2022
ASGNN: Graph Neural Networks with Adaptive Structure
ASGNN: Graph Neural Networks with Adaptive Structure
Zepeng Zhang
Songtao Lu
Zengfeng Huang
Ziping Zhao
AAML
48
1
0
03 Oct 2022
A Unified Framework for Optimization-Based Graph Coarsening
A Unified Framework for Optimization-Based Graph Coarsening
Manoj Kumar
Anurag Sharma
Surinder Kumar
24
12
0
02 Oct 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
30
27
0
17 Sep 2022
Joint Network Topology Inference via a Shared Graphon Model
Joint Network Topology Inference via a Shared Graphon Model
Madeline Navarro
Santiago Segarra
56
10
0
17 Sep 2022
Position-aware Structure Learning for Graph Topology-imbalance by
  Relieving Under-reaching and Over-squashing
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Qingyun Sun
Jianxin Li
Haonan Yuan
Xingcheng Fu
Hao Peng
Cheng Ji
Qian Li
Philip S. Yu
24
38
0
17 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood
  Feature Distribution
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
GNN
14
18
0
15 Aug 2022
Online Inference for Mixture Model of Streaming Graph Signals with
  Non-White Excitation
Online Inference for Mixture Model of Streaming Graph Signals with Non-White Excitation
Yiran He
Hoi-To Wai
33
2
0
28 Jul 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling
  Perspective
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
34
4
0
09 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral
  Clustering
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
Shouheng Li
Dongwoo Kim
Qing Wang
19
14
0
06 Jun 2022
Principle of Relevant Information for Graph Sparsification
Principle of Relevant Information for Graph Sparsification
Shujian Yu
Francesco Alesiani
Wenzhe Yin
Robert Jenssen
José C. Príncipe
18
10
0
31 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global
  and Local Spectral Embedding Methods
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero
Yann LeCun
SSL
18
130
0
23 May 2022
Learning Graph Structure from Convolutional Mixtures
Learning Graph Structure from Convolutional Mixtures
Max Wasserman
Saurabh Sihag
Gonzalo Mateos
Alejandro Ribeiro
GNN
CML
BDL
44
6
0
19 May 2022
Finding MNEMON: Reviving Memories of Node Embeddings
Finding MNEMON: Reviving Memories of Node Embeddings
Yun Shen
Yufei Han
Zhikun Zhang
Min Chen
Tingyue Yu
Michael Backes
Yang Zhang
Gianluca Stringhini
26
14
0
14 Apr 2022
Multi-view graph structure learning using subspace merging on Grassmann
  manifold
Multi-view graph structure learning using subspace merging on Grassmann manifold
Razieh Ghiasi
Hossein Amirkhani
A. Bosaghzadeh
20
1
0
11 Apr 2022
Learning Expanding Graphs for Signal Interpolation
Learning Expanding Graphs for Signal Interpolation
Bishwadeep Das
Elvin Isufi
13
6
0
15 Mar 2022
Online Graph Learning from Social Interactions
Online Graph Learning from Social Interactions
Valentina Shumovskaia
K. Ntemos
Stefan Vlaski
Ali H. Sayed
22
6
0
11 Mar 2022
Blind Extraction of Equitable Partitions from Graph Signals
Blind Extraction of Equitable Partitions from Graph Signals
Michael Scholkemper
Michael T. Schaub
16
3
0
10 Mar 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural
  Networks
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal
Antonios Valkanas
Florence Regol
Mark J. Coates
SSL
35
16
0
22 Feb 2022
Graphon-aided Joint Estimation of Multiple Graphs
Graphon-aided Joint Estimation of Multiple Graphs
Madeline Navarro
Santiago Segarra
30
2
0
11 Feb 2022
Learning Sparse Graphs via Majorization-Minimization for Smooth Node
  Signals
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
Ghania Fatima
A. Arora
P. Babu
Petre Stoica
23
7
0
06 Feb 2022
Extending compositional data analysis from a graph signal processing
  perspective
Extending compositional data analysis from a graph signal processing perspective
Christopher Rieser
Peter Filzmoser
11
2
0
25 Jan 2022
A graph representation based on fluid diffusion model for data analysis:
  theoretical aspects and enhanced community detection
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection
Andrea Marinoni
Christian Jutten
Mark Girolami
205
2
0
07 Dec 2021
Learning Connectivity with Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
43
27
0
06 Dec 2021
Sparse Graph Learning Under Laplacian-Related Constraints
Sparse Graph Learning Under Laplacian-Related Constraints
Jitendra Tugnait
19
12
0
16 Nov 2021
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
Xue Zhang
Gene Cheung
Jiahao Pang
Yash Sanghvi
Abhiram Gnanasambandam
Stanley H. Chan
3DPC
24
6
0
09 Nov 2021
Dynamic Pricing and Demand Learning on a Large Network of Products: A
  PAC-Bayesian Approach
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach
Bora Keskin
D. Simchi-Levi
Prem M. Talwai
23
1
0
01 Nov 2021
Learning Time-Varying Graphs from Online Data
Learning Time-Varying Graphs from Online Data
Alberto Natali
Elvin Isufi
M. Coutiño
G. Leus
CML
21
32
0
21 Oct 2021
Learning to Learn Graph Topologies
Learning to Learn Graph Topologies
Xingyue Pu
Tianyue Cao
Xiaoyun Zhang
Xiaowen Dong
Siheng Chen
35
39
0
19 Oct 2021
Accelerated Graph Learning from Smooth Signals
Accelerated Graph Learning from Smooth Signals
S. S. Saboksayr
Gonzalo Mateos
39
22
0
19 Oct 2021
Online Graph Learning in Dynamic Environments
Online Graph Learning in Dynamic Environments
Xiang Zhang
30
3
0
11 Oct 2021
Time-varying Graph Learning Under Structured Temporal Priors
Time-varying Graph Learning Under Structured Temporal Priors
Xiang Zhang
Qiao Wang
CML
19
5
0
11 Oct 2021
Online Graph Topology Learning from Matrix-valued Time Series
Online Graph Topology Learning from Matrix-valued Time Series
Yiye Jiang
Jérémie Bigot
Sofian Maabout
AI4TS
25
3
0
16 Jul 2021
Multi-modal Graph Learning for Disease Prediction
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Zhenyu Guo
Yang Liu
Yao Zhao
34
97
0
01 Jul 2021
Signal processing on simplicial complexes
Signal processing on simplicial complexes
Michael T. Schaub
Jean-Baptiste Seby
Florian Frantzen
T. Roddenberry
Yu Zhu
Santiago Segarra
15
18
0
14 Jun 2021
Distributionally Robust Graph Learning from Smooth Signals under Moment
  Uncertainty
Distributionally Robust Graph Learning from Smooth Signals under Moment Uncertainty
Xiaolu Wang
Yuen-Man Pun
Anthony Man-Cho So
OOD
21
6
0
12 May 2021
Robust Graph Learning Under Wasserstein Uncertainty
Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang
Yinfei Xu
Qinghe Liu
Zhicheng Liu
Jian Lu
Qiao Wang
OOD
19
4
0
10 May 2021
Graph Learning: A Survey
Graph Learning: A Survey
Feng Xia
Ke Sun
Shuo Yu
Abdul Aziz
Liangtian Wan
Shirui Pan
Huan Liu
GNN
29
345
0
03 May 2021
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