Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
generates μ and logσ². Then we can calculate Z using parameterization trick where ε ~ N(0,1). The decoder (generative model) is defined by an inner product between latent variable Z. The output of our decoder is a reconstructed adjacency matrix A-hat, which is defined as where σ(•) is the logistic