Generalized Spectral Clustering via Gromov-Wasserstein Learning

7 June 2020

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

14 / 14 papers shown

Title
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization Qingmei Wang Fanmeng Wang Bing Su Hongteng Xu AI4TS 89 0 0 29 Mar 2025
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 49 0 0 22 Oct 2024
The Z-Gromov-Wasserstein Distance Martin Bauer Facundo Mémoli Tom Needham Mao Nishino OT 55 2 0 15 Aug 2024
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 59 70 0 09 Sep 2020
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 70 26 0 09 Mar 2020
Learning Autoencoders with Relational Regularization Hongteng Xu Dixin Luo Ricardo Henao Svati Shah Lawrence Carin 52 42 0 07 Feb 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 59 49 0 19 Nov 2019
Gromov-Wasserstein Averaging in a Riemannian Framework Samir Chowdhury Tom Needham 42 36 0 10 Oct 2019
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 46 100 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 55 195 0 18 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 50 112 0 14 May 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces David Alvarez-Melis Tommi Jaakkola OT 54 328 0 31 Aug 2018
Towards Optimal Transport with Global Invariances David Alvarez-Melis Stefanie Jegelka Tommi Jaakkola OT 52 71 0 25 Jun 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 63 273 0 23 May 2018