2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
AISTATS 2019poster
We consider a non-projective class of inhomogeneous random graph models with interpretable parameters and a number of interesting asymptotic properties. Using the results of Bollobás et al. (2007), we show that i) the class of models is sparse and ii) depending on the choice of the parameters, the m…