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Learning subtree pattern importance for Weisfeiler-Lehmanbased graph
  kernels

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels

8 June 2021
Dai Hai Nguyen
Canh Hao Nguyen
Hiroshi Mamitsuka
ArXivPDFHTML

Papers citing "Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels"

4 / 4 papers shown
Title
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen
Tetsuya Sakurai
Hiroshi Mamitsuka
45
0
0
25 Oct 2023
Moreau-Yoshida Variational Transport: A General Framework For Solving
  Regularized Distributional Optimization Problems
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems
Dai Hai Nguyen
Tetsuya Sakurai
29
1
0
31 Jul 2023
Metric Distribution to Vector: Constructing Data Representation via
  Broad-Scale Discrepancies
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Xue Liu
Dan Sun
X. Cao
Hao Ye
Wei Wei
20
0
0
02 Oct 2022
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
Franka Bause
Nils M. Kriege
CLL
37
6
0
19 Sep 2022
1