Edge-based sequential graph generation with recurrent neural networks
NEUROCOMPUTING, pp. 177-189, 2020.
Graph generation with Machine Learning is an open problem with applications in various research fields. In this work, we propose to cast the generative process of a graph into a sequential one, relying on a node ordering procedure. We use this sequential process to design a novel generative model composed of two recurrent neural networks ...More
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