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Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman
  graph kernels

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels

6 February 2024
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
ArXivPDFHTML

Papers citing "Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels"

3 / 3 papers shown
Title
Learning signals defined on graphs with optimal transport and Gaussian process regression
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
30
1
0
21 Oct 2024
A Simple Way to Learn Metrics Between Attributed Graphs
A Simple Way to Learn Metrics Between Attributed Graphs
Yacouba Kaloga
Pierre Borgnat
Amaury Habrard
GNN
14
1
0
26 Sep 2022
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
1