Recovering Barabási-Albert Parameters of Graphs through Disentanglement

1 code implementation • ICLR Workshop GTRL 2021 • Cristina Guzman, Daphna Keidar, Tristan Meynier, Andreas Opedal, Niklas Stoehr

We first learn the generative BA parameters in a supervised fashion using a Graph Neural Network (GNN) and a Random Forest Regressor, by minimizing the squared loss between the true generative parameters and the latent variables.

Disentanglement Graph Generation