Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
when we want a distance measure that is invariant to the magnitude of the vectors. Therefore, by applying the inner product on the latent variable Z and Z^T, we can learn the similarity of each node inside Z to predict our adjacency matrix. Experiments on link prediction In the variational graph