Title: Towards quantitative methods to assess network generative models,
Abstract: Assessing generative models is not an easy task. Generative models should
synthesize graphs which are not replicates of real networks but show
topological features similar to real graphs. We introduce an approach for
assessing graph generative models using graph classifiers. The inability of an
established graph classifier for distinguishing real and synthesized graphs
could be considered as a performance measurement for graph generators.