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An Optimal Transport Approach for Network Regression

An Optimal Transport Approach for Network Regression

Alex G. Zalles
Kai M. Hung
Ann E. Finneran
L. Beaudrot
César A. Uribe
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Papers citing "An Optimal Transport Approach for Network Regression"

7 / 7 papers shown
Title
Bures-Wasserstein Means of Graphs
Bures-Wasserstein Means of Graphs
Isabel Haasler
P. Frossard
29
1
0
31 May 2023
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
Xiangjie Kong
Kailai Wang
Mingliang Hou
Feng Xia
G. Karmakar
Jianxin Li
AI4TS
48
43
0
17 Feb 2022
On the Power of Edge Independent Graph Models
On the Power of Edge Independent Graph Models
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
58
15
0
29 Oct 2021
FGOT: Graph Distances based on Filters and Optimal Transport
FGOT: Graph Distances based on Filters and Optimal Transport
Hermina Petric Maretic
Mireille El Gheche
Giovanni Chierchia
P. Frossard
OT
42
17
0
09 Sep 2021
Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures
Entropy-Regularized 22-Wasserstein Distance between Gaussian Measures
Anton Mallasto
Augusto Gerolin
H. Q. Minh
50
52
0
05 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
85
290
0
07 May 2020
GOT: An Optimal Transport framework for Graph comparison
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic
Mireille El Gheche
Giovanni Chierchia
P. Frossard
OT
129
119
0
05 Jun 2019

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