Interpolating between Clustering and Dimensionality Reduction with
Gromov-Wasserstein

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein

5 October 2023

Hugues van Assel

Cédric Vincent-Cuaz

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Papers citing "Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein"

19 / 19 papers shown

Title
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 67 8 0 15 Jun 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues van Assel Titouan Vayer Rémi Flamary Nicolas Courty 74 9 0 23 May 2023
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 83 20 0 31 May 2022
A Probabilistic Graph Coupling View of Dimension Reduction Hugues van Assel T. Espinasse J. Chiquet F. Picard 52 14 0 31 Jan 2022
Subspace Detours Meet Gromov-Wasserstein Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz OT 66 6 0 21 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 83 23 0 06 Oct 2021
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 58 46 0 12 Feb 2021
Block majorization-minimization with diminishing radius for constrained nonconvex optimization Hanbaek Lyu Yuchen Li 47 10 0 07 Dec 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 50 54 0 07 Jun 2020
CO-Optimal Transport Ivegen Redko Titouan Vayer Rémi Flamary Nicolas Courty OT 82 66 0 10 Feb 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 73 51 0 19 Nov 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 60 197 0 18 May 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 97 260 0 17 Jan 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces David Alvarez-Melis Tommi Jaakkola OT 56 328 0 31 Aug 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 73 274 0 23 May 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 199 9,473 0 09 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Learning Probability Measures with respect to Optimal Transport Metrics Guillermo D. Cañas Lorenzo Rosasco OT 96 101 0 05 Sep 2012

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