Analyzing Gaussian Process Regression with Sliced Wasserstein Weisfeiler-Lehman Graph Kernels

The author introduces the Sliced Wasserstein Weisfeiler-Lehman (SWWL) graph kernel as a positive definite and efficient solution for handling large-scale graphs in Gaussian process regression.