Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1905.07645
Cited By
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
18 May 2019
Hongteng Xu
Dixin Luo
Lawrence Carin
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching"
16 / 16 papers shown
Title
Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity
B. Evens
P. Latafat
Panagiotis Patrinos
139
1
0
01 Apr 2025
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization
Qingmei Wang
Fanmeng Wang
Bing Su
Hongteng Xu
AI4TS
83
0
0
29 Mar 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
126
1
0
17 Feb 2025
Scalable Implicit Graphon Learning
Ali Azizpour
Nicolas Zilberstein
Santiago Segarra
GNN
119
0
0
22 Oct 2024
The Z-Gromov-Wasserstein Distance
Martin Bauer
Facundo Mémoli
Tom Needham
Mao Nishino
OT
53
2
0
15 Aug 2024
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Qijie Ding
Jie Yin
Daokun Zhang
Junbin Gao
88
4
0
05 Jul 2023
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
48
112
0
14 May 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
64
256
0
17 Jan 2019
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
David Tellez
G. Litjens
J. A. van der Laak
R. Tavenard
F. Ciompi
OT
72
125
0
07 Nov 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
52
326
0
31 Aug 2018
Optimal Transport for structured data with application on graphs
Titouan Vayer
Laetitia Chapel
Rémi Flamary
R. Tavenard
Nicolas Courty
OT
58
270
0
23 May 2018
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
140
2,133
0
01 Mar 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
59
587
0
26 May 2017
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
156
10,825
0
03 Jul 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
142
4,210
0
04 Jun 2013
Point-Set Registration: Coherent Point Drift
Andriy Myronenko
Xubo B. Song
3DPC
3DV
112
2,577
0
15 May 2009
1