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Matrix Completion on Graphs

Matrix Completion on Graphs

7 August 2014
Vassilis Kalofolias
Xavier Bresson
M. Bronstein
P. Vandergheynst
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Papers citing "Matrix Completion on Graphs"

22 / 22 papers shown
Title
Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach
Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach
Yao Wang
Yiyang Yang
Kaidong Wang
Shanxing Gao
Xiuwu Liao
63
0
0
12 Feb 2025
Graph-Based Matrix Completion Applied to Weather Data
Graph-Based Matrix Completion Applied to Weather Data
Benoît Loucheur
P.-A. Absil
M. Journée
17
1
0
14 Jun 2023
MoReL: Multi-omics Relational Learning
MoReL: Multi-omics Relational Learning
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Xiaoning Qian
19
7
0
15 Mar 2022
Matrix Completion with Hierarchical Graph Side Information
Matrix Completion with Hierarchical Graph Side Information
Adel M. Elmahdy
Junhyung Ahn
Changho Suh
S. Mohajer
20
15
0
02 Jan 2022
On the Unreasonable Effectiveness of Feature propagation in Learning on
  Graphs with Missing Node Features
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
Emanuele Rossi
Henry Kenlay
Maria I. Gorinova
B. Chamberlain
Xiaowen Dong
M. Bronstein
28
87
0
23 Nov 2021
Nonparametric Matrix Estimation with One-Sided Covariates
Nonparametric Matrix Estimation with One-Sided Covariates
Chao Yu
23
3
0
26 Oct 2021
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical
  Similarity Graphs
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs
Junhyung Ahn
Adel M. Elmahdy
S. Mohajer
Changho Suh
24
7
0
12 Sep 2021
Inductive Matrix Completion Using Graph Autoencoder
Inductive Matrix Completion Using Graph Autoencoder
Wei Shen
Chuheng Zhang
Yunkun Tian
Liang Zeng
Xiaonan He
Wanchun Dou
Xiaolong Xu
11
24
0
25 Aug 2021
Depth image denoising using nuclear norm and learning graph model
Depth image denoising using nuclear norm and learning graph model
C. Yan
Zhisheng Li
Yongbing Zhang
Yutao Liu
Xiangyang Ji
Yongdong Zhang
29
222
0
09 Aug 2020
Sampling Signals on Graphs: From Theory to Applications
Sampling Signals on Graphs: From Theory to Applications
Yuichi Tanaka
Yonina C. Eldar
Antonio Ortega
Gene Cheung
22
10
0
09 Mar 2020
Learning Interpretable Disease Self-Representations for Drug
  Repositioning
Learning Interpretable Disease Self-Representations for Drug Repositioning
Fabrizio Frasca
Diego Galeano
Guadalupe Gonzalez
I. Laponogov
Kirill Veselkov
A. Paccanaro
M. Bronstein
14
2
0
14 Sep 2019
Generalization error bounds for kernel matrix completion and
  extrapolation
Generalization error bounds for kernel matrix completion and extrapolation
Pere Giménez-Febrer
A. Pagés-Zamora
G. Giannakis
17
8
0
20 Jun 2019
Geometric Matrix Completion with Deep Conditional Random Fields
Geometric Matrix Completion with Deep Conditional Random Fields
Duc Minh Nguyen
A. Calderbank
Nikos Deligiannis
20
7
0
29 Jan 2019
Matrix Completion With Variational Graph Autoencoders: Application in
  Hyperlocal Air Quality Inference
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Carlo Di Domenico
Duc Minh Nguyen
Evaggelia Tsiligianni
Angel Lopez Aguirre
M. Savino
Frank Pasveer
A. Bouras
Nikos Deligiannis
8
24
0
05 Nov 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
30
157
0
07 Mar 2018
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix
  Completion
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion
Kaiyi Ji
Jian Tan
Jinfeng Xu
Yuejie Chi
28
3
0
16 Feb 2018
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
35
657
0
22 May 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
How to learn a graph from smooth signals
How to learn a graph from smooth signals
Vassilis Kalofolias
20
503
0
11 Jan 2016
Song Recommendation with Non-Negative Matrix Factorization and Graph
  Total Variation
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation
Kirell Benzi
Vassilis Kalofolias
Xavier Bresson
P. Vandergheynst
16
50
0
08 Jan 2016
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
18
109
0
29 Jul 2015
Functional correspondence by matrix completion
Functional correspondence by matrix completion
Artiom Kovnatsky
M. Bronstein
Xavier Bresson
P. Vandergheynst
19
90
0
27 Dec 2014
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