Optimal Transport for structured data with application on graphs

23 May 2018

Papers citing "Optimal Transport for structured data with application on graphs"

35 / 35 papers shown

Title
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 80 0 0 17 Feb 2025
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree Yaming Yang Zhe Wang Ziyu Guan Wei Zhao Xinyan Huang Xiaofei He 59 0 0 14 Feb 2025
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 30 1 0 21 Oct 2024
Cross-domain Named Entity Recognition via Graph Matching Junhao Zheng Haibin Chen Qianli Ma 46 24 0 02 Aug 2024
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
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 31 4 0 20 Jan 2024
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 30 4 0 20 Oct 2023
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework Haoran Cheng Dixin Luo Hongteng Xu OT 16 0 0 18 Oct 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance Junjie Yang Matthieu Labeau Steeven Villa OT 24 1 0 28 Sep 2023
DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds Chensheng Peng Guangming Wang Xian Wan Lo Xin Wu Chenfeng Xu M. Tomizuka Wei Zhan Hesheng Wang 3DPC 24 8 0 08 Aug 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment Jianheng Tang Kangfei Zhao Jia Li 32 26 0 11 May 2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang Weiqi Zhang Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 13 18 0 30 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 32 4 0 07 Nov 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 35 12 0 06 Oct 2022
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment Qijie Ding Daokun Zhang Jie Yin OT 21 6 0 05 Sep 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 33 1 0 17 May 2022
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds Ramy Battrawy René Schuster M. N. Mahani D. Stricker 3DPC 11 17 0 01 Apr 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
Estimation of Stationary Optimal Transport Plans Kevin O'Connor K. Mcgoff A. Nobel OT 14 3 0 25 Jul 2021
Image-to-Image Retrieval by Learning Similarity between Scene Graphs Sangwoong Yoon Woo-Young Kang Sungwook Jeon SeongEun Lee C. Han Jonghun Park Eun-Sol Kim 3DH 29 39 0 29 Dec 2020
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 44 28 0 10 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 17 19 0 07 Dec 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 115 183 0 22 Jul 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 11 54 0 07 Jun 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 14 48 0 19 Nov 2019
Gromov-Wasserstein Averaging in a Riemannian Framework Samir Chowdhury Tom Needham 14 36 0 10 Oct 2019
Learning transport cost from subset correspondence Ruishan Liu Akshay Balsubramani James Y. Zou OT 14 14 0 29 Sep 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 19 117 0 05 Jun 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 15 190 0 18 May 2019
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 135 611 0 05 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016
Regularized Optimal Transport and the Rot Mover's Distance Arnaud Dessein Nicolas Papadakis Jean-Luc Rouas OT 51 84 0 20 Oct 2016