Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels

1 code implementation • 6 Feb 2024 • Raphaël Carpintero Perez, Sébastien da Veiga, Josselin Garnier, Brian Staber

Supervised learning has recently garnered significant attention in the field of computational physics due to its ability to effectively extract complex patterns for tasks like solving partial differential equations, or predicting material properties.

Graph Classification Graph Regression +1