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

7 November 2018

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

22 / 22 papers shown

Title
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng Ruizhong Qiu Wenxuan Bao Tianxin Wei Xiao Lin Yuchen Yan Tarek Abdelzaher Jiawei Han Yangqiu Song OOD AI4CE 22 0 0 19 May 2025
Metric properties of partial and robust Gromov-Wasserstein distances Jannatul Chhoa Michael Ivanitskiy Fushuai Jiang Shiying Li Daniel McBride Tom Needham Kaiying O'Hare 38 0 0 04 Nov 2024
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance Junjie Yang Matthieu Labeau Steeven Villa OT 31 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 30 19 0 30 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 43 4 0 13 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 30 48 0 16 Nov 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 45 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 18 1 0 09 Aug 2022
Wasserstein Graph Distance Based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees Zhongxi Fang Jianming Huang Xun Su Hiroyuki Kasai 42 8 0 09 Jul 2022
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein Alexis Thual Huy Tran Tatiana Zemskova Nicolas Courty Rémi Flamary S. Dehaene Bertrand Thirion OT 30 24 0 19 Jun 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 31 14 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 44 1 0 17 May 2022
MoReL: Multi-omics Relational Learning Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Xiaoning Qian 27 7 0 15 Mar 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 38 19 0 08 Feb 2022
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 47 23 0 06 Oct 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 59 29 0 10 Dec 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 30 68 0 09 Sep 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 20 54 0 07 Jun 2020
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 23 192 0 18 May 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 30 256 0 17 Jan 2019
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 141 614 0 05 Mar 2017