Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

18 May 2019

Lawrence Carin

Papers citing "Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching"

32 / 32 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 82 0 0 17 Feb 2025
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 30 0 0 04 Jun 2024
Spurious Stationarity and Hardness Results for Mirror Descent He Chen Jiajin Li Anthony Man-Cho So 39 0 0 11 Apr 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
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework Haoran Cheng Dixin Luo Hongteng Xu OT 16 0 0 18 Oct 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
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
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 25 47 0 16 Nov 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 34 4 0 07 Nov 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks A. K. Akash Sixu Li Nicolas García Trillos 24 12 0 13 Oct 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning Pourya Shamsolmoali Masoumeh Zareapoor Swagatam Das Eric Granger Salvador García MedIm 24 2 0 01 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 36 1 0 17 May 2022
Seeded graph matching for the correlated Gaussian Wigner model via the projected power method E. Araya Guillaume Braun Hemant Tyagi 80 4 0 08 Apr 2022
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem Yiling Xie Yiling Luo X. Huo 16 10 0 02 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
CLIP-Event: Connecting Text and Images with Event Structures Manling Li Ruochen Xu Shuohang Wang Luowei Zhou Xudong Lin Chenguang Zhu Michael Zeng Heng Ji Shih-Fu Chang VLM CLIP 10 123 0 13 Jan 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
Entropic Gromov-Wasserstein between Gaussian Distributions Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 13 18 0 24 Aug 2021
Estimation of Stationary Optimal Transport Plans Kevin O'Connor K. Mcgoff A. Nobel OT 16 3 0 25 Jul 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 13 8 0 14 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation Khang Le Huy Le Nguyen Quang H. Nguyen Tung Pham Hung Bui Nhat Ho OT 23 37 0 13 Feb 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
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
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 19 67 0 09 Sep 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 11 54 0 07 Jun 2020
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 41 26 0 09 Mar 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 24 207 0 27 Jan 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 16 36 0 10 Oct 2019