Fused Gromov-Wasserstein distance for structured objects: theoretical
foundations and mathematical properties

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties

7 November 2018

J. A. van der Laak

Papers citing "Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties"

17 / 17 papers shown

Title
Metric properties of partial and robust Gromov-Wasserstein distances Jannatul Chhoa Michael Ivanitskiy Fushuai Jiang Shiying Li Daniel McBride Tom Needham Kaiying O'Hare 31 0 0 04 Nov 2024
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 Jianheng Tang Jiexia Ye Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 15 18 0 30 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 25 47 0 16 Nov 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 35 12 0 06 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 20 0 0 02 Oct 2022
Universal Mappings and Analysis of Functional Data on Geometric Domains Soheil Anbouhi W. Mio Osman Berat Okutan 13 1 0 09 Aug 2022
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein Alexis Thual Huy Tran Tatiana Zemskova Nicolas Courty Rémi Flamary S. Dehaene B. Thirion OT 22 24 0 19 Jun 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 26 13 0 26 May 2022
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 Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 46 28 0 10 Dec 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 22 67 0 09 Sep 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 16 54 0 07 Jun 2020
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 23 190 0 18 May 2019
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 141 611 0 05 Mar 2017