A Tunable Model for Graph Generation Using LSTM and Conditional VAE

Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa +2

With the development of graph applications, generative models for graphs have been more crucial. Classically, stochastic models that generate graphs with a pre-defined probability…