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A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein
in Graph Data

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data

12 March 2023

Anthony Man-Cho So

Jose H. Blanchet

Papers citing "A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data"

11 / 11 papers shown

Title
Graph Neural Networks for Multimodal Single-Cell Data Integration Haifang Wen Jiayuan Ding Wei Jin Yiqi Wang Yuying Xie Jiliang Tang 75 55 0 03 Mar 2022
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 51 46 0 12 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition Jia Li Mengzhou Liu Honglei Zhang Pengyun Wang Yong Wen Lujia Pan Hong Cheng 56 9 0 08 Feb 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 86 32 0 10 Dec 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 61 52 0 09 Oct 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 64 70 0 09 Sep 2020
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 49 100 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 57 195 0 18 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 52 112 0 14 May 2019
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 63 273 0 23 May 2018
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013

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