Reviews: Semi-Implicit Graph Variational Auto-Encoders

This paper proposes a Semi-Implicit VI extension of the GraphVAE model. SIVI assumes a prior distribution over the posterior parameter, enabling more flexible modeling of latent variables. In this paper, SIVI is straightforwardly incorporated into the Graph VAE framework. The formulation is simple but possibly new in the graph analysis literature. It is easy to understand the main idea.