GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators

Ousmane Touat, Julian Stier, Pierre-Edouard Portier +1

A wide variety of generative models for graphs have been proposed. They are used in drug discovery, road networks, neural architecture search, and program synthesis. Generating gra…