Review for NeurIPS paper: Uncertainty Aware Semi-Supervised Learning on Graph Data

Clarity: Overall the paper is very clear. The authors did an excellent job. Equation 5 - I am confused on a few things. The notation P(y x; theta) is confusing because the semicolon implies that theta is a vector and not a random vector, however, the conditional distribution of theta is given P(theta G). So what is the point of the semicolon? Also, there is a typo in Equation 5 I think because the entropy term is not defined correctly.