AGN is a variational framework for inserting plausible new nodes into incomplete networks by latent sampling and similarity attachment, shown on synthetic data to keep clustering and modularity changes modest compared to a baseline that allows new-new edges.
Constrained generation of semantically valid graphs via regularizing variational autoencoders
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Astro Generative Network: A Variational Framework for Controlled Node Insertion in Incomplete Complex Networks
AGN is a variational framework for inserting plausible new nodes into incomplete networks by latent sampling and similarity attachment, shown on synthetic data to keep clustering and modularity changes modest compared to a baseline that allows new-new edges.