In this work, we proposed a novel generative model: deep variational autoencoder (DVAE) to tackle the challenge of insufficient data and incomplete supervision. The experimental results showed that ...

Variational graph autoencoders (VGAEs) are popular artificial neural network (ANN)-based models for unsupervised graph representation learning tasks, including link prediction and graph generation, ...