r/MachineLearning - [R] [1806.01261] Relational inductive biases, deep learning, and graph networks

Even though I just skimmed it so far, I think this is a great paper! I think the structure of this framework seems very clean and reasonable. However, I wonder what benefits there are in using this over probabilistic programs. As far as I can tell programs have far greater expressive power, but I can see that it's easier for a computer to reason about a graph than a program, and therefore optimize it further.