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Online Graph Dictionary Learning

Online Graph Dictionary Learning

12 February 2021
Cédric Vincent-Cuaz
Titouan Vayer
Rémi Flamary
Marco Corneli
Nicolas Courty
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Papers citing "Online Graph Dictionary Learning"

8 / 8 papers shown
Title
Distributional Reduction: Unifying Dimensionality Reduction and
  Clustering with Gromov-Wasserstein
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Nicolas Courty
Rémi Flamary
Pascal Frossard
Titouan Vayer
26
3
0
03 Feb 2024
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein
  Distance
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang
Matthieu Labeau
Steeven Villa
OT
24
1
0
28 Sep 2023
Robust Attributed Graph Alignment via Joint Structure Learning and
  Optimal Transport
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Jianheng Tang
Jiexia Ye
Jiajin Li
Kangfei Zhao
Fugee Tsung
Jia Li
OT
15
18
0
30 Jan 2023
Implicit Graphon Neural Representation
Implicit Graphon Neural Representation
Xinyue Xia
Gal Mishne
Yusu Wang
GNN
AI4CE
39
4
0
07 Nov 2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph
  Data
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Data
Jiajin Li
Jianheng Tang
Lemin Kong
Huikang Liu
Jia Li
Anthony Man-Cho So
Jose H. Blanchet
36
1
0
17 May 2022
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs
Cédric Vincent-Cuaz
Rémi Flamary
Marco Corneli
Titouan Vayer
Nicolas Courty
OT
35
23
0
06 Oct 2021
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
141
611
0
05 Mar 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
253
3,239
0
24 Nov 2016
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