Machine Learning, Computational Graphs, Generative Adversarial, Deep Learning.
against a state-of-the-art graph generation algorithm, GraphGAN, and observed that our approach requires 3 to 4 times shorter training time, while significantly outperforming GraphGAN and other state-of-the-art methods in predictive accuracy. The results indicates that the theoretical model