Generalized Spectral Clustering via Gromov-Wasserstein Learning

7 June 2020

Papers citing "Generalized Spectral Clustering via Gromov-Wasserstein Learning"

31 / 31 papers shown

Title
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization Qingmei Wang Fanmeng Wang Bing Su Hongteng Xu AI4TS 46 0 0 29 Mar 2025
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Michael Wilson Tom Needham A. Srivastava OT 34 0 0 15 Nov 2024
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
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 29 0 0 22 Oct 2024
The Z-Gromov-Wasserstein Distance Martin Bauer Facundo Mémoli Tom Needham Mao Nishino OT 28 2 0 15 Aug 2024
Fast Gradient Computation for Gromov-Wasserstein Distance Wei Zhang Zihao W. Wang Jie Fan Hao Wu Yong Zhang OT 29 1 0 13 Apr 2024
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport Chakib Fettal Lazhar Labiod M. Nadif OT 19 1 0 07 Feb 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
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks D. M. Nguyen Nina Lukashina Tai Nguyen An T. Le TrungTin Nguyen Nhat Ho Jan Peters Daniel Sonntag Viktor Zaverkin Mathias Niepert 33 5 0 03 Feb 2024
Topological Learning for Motion Data via Mixed Coordinates Hengrui Luo Jisu Kim Alice Patania Mikael Vejdemo-Johansson 14 4 0 30 Oct 2023
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues van Assel Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Nicolas Courty 16 0 0 05 Oct 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications Xinyu Ma Xu Chu Yasha Wang Yang Lin Junfeng Zhao Liantao Ma Wenwu Zhu 27 6 0 28 Jun 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 30 6 0 15 Jun 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees Shangyuan Liu Lingling Zhu Anthony Man-Cho So 22 1 0 02 May 2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Jiajin Li Jianheng Tang Lemin Kong Huikang Liu Jia Li Anthony Man-Cho So Jose H. Blanchet 31 11 0 12 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 35 5 0 10 Mar 2023
Outlier-Robust Gromov-Wasserstein for Graph Data Lemin Kong Jiajin Li Jianheng Tang Anthony Man-Cho So 19 4 0 09 Feb 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
Nonparametric Multi-shape Modeling with Uncertainty Quantification Hengrui Luo Justin Strait 14 3 0 18 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 19 14 0 06 Jun 2022
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 41 20 0 31 May 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
Multiscale Graph Comparison via the Embedded Laplacian Discrepancy Edric Tam David B. Dunson 19 5 0 28 Jan 2022
Subspace Detours Meet Gromov-Wasserstein Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz OT 28 6 0 21 Oct 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
Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy Zhicheng Guo Jiaxuan Zhao L. Jiao Xu Liu 27 0 0 14 Jun 2021
DIGRAC: Digraph Clustering Based on Flow Imbalance Yixuan He G. Reinert Mihai Cucuringu AI4CE 30 14 0 09 Jun 2021
Quantized Gromov-Wasserstein Samir Chowdhury David W. Miller Tom Needham 17 26 0 05 Apr 2021
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 28 44 0 12 Feb 2021
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 43 26 0 09 Mar 2020