A Collection of Graphon Estimation Methods
Cross validation for selecting optimal precision parameter in SBA meth...
Estimate graphons based on matrix completion scheme
Estimate graphons based on empirical degrees
Estimate edge probabilities by neighborhood smoothing
Estimate graphons based on Stochastic Blockmodel approximation
Estimate graphons based via Universal Singular Value Thresholding
Generate binary random graphs based on stochastic blockmodel
Observations from Erdos-Renyi random graph model
Generate graphs given a probability matrix
Generate one of pre-specified graphons.
graphon : A Collection of Graphon Estimation Methods
Provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks. For a detailed introduction on graphon and popular estimation techniques, see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>. It also contains several auxiliary functions for generating sample networks using various network models and graphons.