Gromov-Wasserstein Learning for Graph Matching and Node Embedding

17 January 2019

Lawrence Carin

Papers citing "Gromov-Wasserstein Learning for Graph Matching and Node Embedding"

44 / 44 papers shown

Title
Many-to-Many Matching via Sparsity Controlled Optimal Transport Weijie Liu Han Bao M. Yamada Zenan Huang Nenggan Zheng Hui Qian OT 58 0 0 31 Mar 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 31 0 0 04 Nov 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 35 0 0 04 Jun 2024
Spurious Stationarity and Hardness Results for Mirror Descent He Chen Jiajin Li Anthony Man-Cho So 45 0 0 11 Apr 2024
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework Haoran Cheng Dixin Luo Hongteng Xu OT 18 0 0 18 Oct 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance Junjie Yang Matthieu Labeau Steeven Villa OT 26 1 0 28 Sep 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 37 26 0 11 May 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
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 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 48 0 16 Nov 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 42 5 0 07 Nov 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks A. K. Akash Sixu Li Nicolas García Trillos 34 12 0 13 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models Guangyi Chen Weiran Yao Xiangchen Song Xinyue Li Yongming Rao Kun Zhang VPVLM VLM 8 62 0 03 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
Hybrid Gromov-Wasserstein Embedding for Capsule Learning Pourya Shamsolmoali Masoumeh Zareapoor Swagatam Das Eric Granger Salvador García MedIm 34 2 0 01 Sep 2022
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment Jing Zhu Danai Koutra Mark Heimann 26 5 0 23 Aug 2022
Auto-regressive Image Synthesis with Integrated Quantization Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Kai Cui Changgong Zhang Shijian Lu 38 10 0 21 Jul 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 41 13 0 30 May 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 26 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 39 1 0 17 May 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities Juncheng Liu Zequn Sun Bryan Hooi Yiwei Wang Dayiheng Liu Baosong Yang X. Xiao Muhao Chen 20 12 0 05 May 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport Jiying Zhang Xi Xiao Long-Kai Huang Yu Rong Yatao Bian OT 19 32 0 20 Mar 2022
MoReL: Multi-omics Relational Learning Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Xiaoning Qian 24 7 0 15 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 33 19 0 08 Feb 2022
Music-to-Dance Generation with Optimal Transport Shuang Wu Shijian Lu Li Cheng OT 27 3 0 03 Dec 2021
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 30 3 0 25 Jul 2021
Inter-domain Multi-relational Link Prediction Luu Huu Phuc Koh Takeuchi Seiji Okajima A. Tolmachev T. Takebayashi Koji Maruhashi H. Kashima 48 0 0 11 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 34 47 0 03 Jun 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 21 9 0 14 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
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 48 28 0 10 Dec 2020
A Hypergradient Approach to Robust Regression without Correspondence Yujia Xie Yongyi Mao Simiao Zuo Hongteng Xu X. Ye T. Zhao H. Zha 26 15 0 30 Nov 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 16 54 0 07 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 43 26 0 09 Mar 2020
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces Ryoma Sato Marco Cuturi M. Yamada H. Kashima 62 23 0 05 Feb 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 30 207 0 27 Jan 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 25 49 0 19 Nov 2019
Gromov-Wasserstein Averaging in a Riemannian Framework Samir Chowdhury Tom Needham 22 36 0 10 Oct 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 23 191 0 18 May 2019