A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph
A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph
Abstract Spectral embedding is a procedure which can be used to obtain vector representations of the nodes of a graph. This paper proposes a generalisation of the latent position network model known as the random dot product graph, to allow interpretation of those vector representations as latent position estimates. The …