Bayesian Semi-supervised Learning with Graph Gaussian Processes

Yin Cheng Ng, Nicolo Colombo, Ricardo Silva

We propose a data-efficient Gaussian process-based Bayesian approach to the semi-supervised learning problem on graphs. The proposed model shows extremely competitive performance w…