Can any multivariate gaussian vector be interpreted as a sample from a stationary random process?

We show that a Gaussian random vector can always be interpreted as a sample from a stationary random function on a graph in RdRd, d⩾2d⩾2, provided that the expectations are the same for all components and the covariance matrix has identical components on the diagonal.