On a certain track team, the runners all take between 4 and 7 minutes to finish a mile. Suppose the probability density function for the length of time it takes a ...

Abstract: Stochastic graph neural networks (SGNNs) are information processing architectures that can learn representations from data over random graphs. SGNNs are trained with respect to the expected ...

This is a preview. Log in through your library . Abstract Formulas are given for the expectation and variance of the number of components for two definitions of random graphs. The results extend those ...