Before revision:  Previous work by Stoehr et al. (2019) addresses these issues by learning the generation process from graph data, using a disentanglement-focused deep autoencoding framework, more specifically, a beta-Variational Autoencoder (beta-VAE ).
After revision:  Previous work by Stoehr et al. (2019) addresses these issues by learning the generation process from graph data, using a disentanglement-focused deep autoencoding framework, more specifically, a \beta-Variational Autoencoder (\beta-VAE ).