The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited.

Floriano Tori Vincent Holst Vincent Ginis

Published in: CoRR (2024)

Keyphrases

hyperparameters
model selection
closed form
cross validation
bayesian framework
em algorithm
random sampling
support vector
bayesian inference
gaussian processes
computer vision
gaussian process
prior information
sample size
image processing
learning process
regularization parameter