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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
ArXiv (abs)PDFHTML

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

50 / 181 papers shown
A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation
A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation
Yiyang Yang
Xiejian Chi
Shanxing Gao
Kaidong Wang
Yao Wang
134
0
0
03 Nov 2025
Learning Time-Varying Graphs from Incomplete Graph Signals
Learning Time-Varying Graphs from Incomplete Graph Signals
Chuansen Peng
Xiaojing Shen
146
0
0
19 Oct 2025
Estimating Fair Graphs from Graph-Stationary Data
Estimating Fair Graphs from Graph-Stationary Data
Madeline Navarro
Andrei Buciulea
Samuel Rey
A. Marques
Santiago Segarra
218
0
0
08 Oct 2025
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
Junyi Yao
Parham Eftekhar
Gene Cheung
Xujin "Chris" Liu
Yao Wang
Wei Hu
MedIm
367
0
0
03 Oct 2025
Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition
Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition
Samuel Rey
Luca Martino
Roberto San Millan
Eduardo Morgado
222
0
0
20 Sep 2025
Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis
Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis
Hoang-Son Nguyen
Hoi-To Wai
216
0
0
18 Sep 2025
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
Thu Ha Phi
Alexandre Hippert-Ferrer
Florent Bouchard
A. Breloy
336
1
0
12 Jun 2025
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
Haruki Yokota
Hiroshi Higashi
Yuichi Tanaka
Gene Cheung
244
0
0
02 Jun 2025
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
Zhibiao Wang
Yunlong Zhou
Ziwei Zhang
Mengmei Zhang
Shirui Pan
Chunming Hu
Xiao Wang
324
0
0
19 May 2025
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
Harel Mendelman
Haggai Maron
Ronen Talmon
265
0
0
18 May 2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
Mohit Kataria
Nikita Malik
Sandeep Kumar
Jayadeva
GNN
306
0
0
18 May 2025
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Tsutahiro Fukuhara
Junya Hara
Hiroshi Higashi
Yuichi Tanaka
FedML
360
0
0
16 May 2025
Learning Kronecker-Structured Graphs from Smooth Signals
Learning Kronecker-Structured Graphs from Smooth Signals
Changhao Shi
Zhengchao Wan
214
1
0
14 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
836
2
0
29 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
Aditya Hemant Shahane
Prathosh A.P
Sandeep Kumar
CLL
280
0
0
07 Apr 2025
Cramer-Rao Bounds for Laplacian Matrix Estimation
Cramer-Rao Bounds for Laplacian Matrix Estimation
Morad Halihal
T. Routtenberg
H. Vincent Poor
166
0
0
06 Apr 2025
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors
Scalable Hypergraph Structure Learning with Diverse Smoothness PriorsIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2025
Benjamin T. Brown
Haoxiang Zhang
Daniel L. Lau
Gonzalo R. Arce
484
1
0
04 Apr 2025
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data
Samuel Rey
Ernesto Curbelo
Luca Martino
F. Llorente
Antonio G. Marques
231
1
0
25 Mar 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
Heterogeneous Graph Structure Learning through the Lens of Data-generating ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Keyue Jiang
Bohan Tang
Xiaowen Dong
Laura Toni
342
2
0
11 Mar 2025
Learning Sheaf Laplacian Optimizing Restriction Maps
Learning Sheaf Laplacian Optimizing Restriction MapsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Leonardo Di Nino
Sergio Barbarossa
Paolo Di Lorenzo
272
4
0
31 Jan 2025
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac FibrillationIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
Alexander Jenkins
Thiernithi Variddhisai
Ahmed El-Medany
F. Ng
Danilo Mandic
AI4TS
297
0
0
03 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time
  Series: Architecture and Application to ICU Patient Data
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient DataIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
Óscar Escudero-Arnanz
C. Soguero-Ruíz
Antonio G. Marques
AI4TS
259
4
0
01 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
741
6
0
28 Oct 2024
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs
Haolin Li
Haoyu Wang
Luana Ruiz
564
2
0
22 Oct 2024
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals
Online Proximal ADMM for Graph Learning from Streaming Smooth SignalsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Hector Chahuara
Gonzalo Mateos
317
1
0
19 Sep 2024
Online Network Inference from Graph-Stationary Signals with Hidden Nodes
Online Network Inference from Graph-Stationary Signals with Hidden NodesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Andrei Buciulea
Madeline Navarro
Samuel Rey
Santiago Segarra
Antonio G. Marques
GNN
266
3
0
13 Sep 2024
Online Learning Of Expanding Graphs
Online Learning Of Expanding GraphsIEEE Open Journal of Signal Processing (JOSP), 2024
Samuel Rey
Bishwadeep Das
Elvin Isufi
298
3
0
13 Sep 2024
Non-negative Weighted DAG Structure Learning
Non-negative Weighted DAG Structure LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Samuel Rey
S. S. Saboksayr
Gonzalo Mateos
CML
239
4
0
12 Sep 2024
Efficient Learning of Balanced Signed Graphs via Iterative Linear
  Programming
Efficient Learning of Balanced Signed Graphs via Iterative Linear ProgrammingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Haruki Yokota
Hiroshi Higashi
Yuichi Tanaka
Gene Cheung
207
4
0
12 Sep 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks
Graph Structure Learning with Interpretable Bayesian Neural Networks
Max Wasserman
Gonzalo Mateos
CML
275
7
0
20 Jun 2024
Learning Latent Graph Structures and their Uncertainty
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
Cesare Alippi
BDL
444
3
0
30 May 2024
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
Wujiang Xu
Zujie Liang
Jiaojiao Han
Xuying Ning
Wenfang Lin
Lin Chen
Feng Wei
Yongfeng Zhang
LRM
304
4
0
28 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
554
27
0
22 May 2024
Introducing Graph Learning over Polytopic Uncertain Graph
Introducing Graph Learning over Polytopic Uncertain Graph
Masako Kishida
Shunsuke Ono
80
1
0
12 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Jhon A. Castro-Correa
Jhony H. Giraldo
Mohsen Badiey
Fragkiskos D. Malliaros
435
28
0
28 Mar 2024
MAPL: Model Agnostic Peer-to-peer Learning
MAPL: Model Agnostic Peer-to-peer Learning
Sayak Mukherjee
Andrea Simonetto
Hadi Jamali Rad
322
2
0
28 Mar 2024
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Xiangrui Cai
Yang Wang
Sihan Xu
Hao Li
Ying Zhang
Zheli Liu
Xiaojie Yuan
313
18
0
14 Mar 2024
Learning Cartesian Product Graphs with Laplacian Constraints
Learning Cartesian Product Graphs with Laplacian Constraints
Changhao Shi
Zhengchao Wan
287
1
0
12 Feb 2024
Multiview Graph Learning with Consensus Graph
Multiview Graph Learning with Consensus GraphIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
Abdullah Karaaslanli
Selin Aviyente
243
5
0
24 Jan 2024
Joint Signal Recovery and Graph Learning from Incomplete Time-Series
Joint Signal Recovery and Graph Learning from Incomplete Time-Series
Amirhossein Javaheri
Arash Amini
F. Marvasti
Daniel P. Palomar
301
10
0
28 Dec 2023
Diffusion Maps for Signal Filtering in Graph Learning
Diffusion Maps for Signal Filtering in Graph Learning
Todd Hildebrant
DiffM
194
1
0
22 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
293
20
0
19 Dec 2023
Learning graphs and simplicial complexes from data
Learning graphs and simplicial complexes from dataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Andrei Buciulea
Elvin Isufi
G. Leus
Antonio G. Marques
283
10
0
16 Dec 2023
Improving embedding of graphs with missing data by soft manifolds
Improving embedding of graphs with missing data by soft manifolds
Andrea Marinoni
Pietro Lio
Alessandro Barp
Christian Jutten
Mark Girolami
316
1
0
29 Nov 2023
A Unified Framework for Fair Spectral Clustering With Effective Graph
  Learning
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning
Xiang Zhang
Qiao Wang
350
4
0
23 Nov 2023
Kernel-based Joint Multiple Graph Learning and Clustering of Graph
  Signals
Kernel-based Joint Multiple Graph Learning and Clustering of Graph Signals
M. H. Alizade
Aref Einizade
Jhony H. Giraldo
206
0
0
29 Oct 2023
Learning to Learn Financial Networks for Optimising Momentum Strategies
Learning to Learn Financial Networks for Optimising Momentum Strategies
Xingyue Pu
S. Zohren
Stephen J. Roberts
Xiaowen Dong
AIFin
140
4
0
23 Aug 2023
Network Momentum across Asset Classes
Network Momentum across Asset ClassesSocial Science Research Network (SSRN), 2023
Xingyue Pu
Stephen J. Roberts
Xiaowen Dong
S. Zohren
AIFin
252
5
0
22 Aug 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies
AbDiffuser: Full-Atom Generation of in vitro Functioning AntibodiesNeural Information Processing Systems (NeurIPS), 2023
Karolis Martinkus
J. Ludwiczak
Kyunghyun Cho
Weishao Lian
J. Lafrance-Vanasse
...
A. Rajpal
Yongpeng Wu
Richard Bonneau
Vladimir Gligorijević
Andreas Loukas
DiffM
373
69
0
28 Jul 2023
Edgewise outliers of network indexed signals
Edgewise outliers of network indexed signalsIEEE Transactions on Signal Processing (IEEE TSP), 2023
Christopher Rieser
A. Ruiz-Gazen
C. Thomas-Agnan
125
0
0
20 Jul 2023
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