GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs

Taniya Das, Mark Koch, Maya Ravichandran +1

GraphRNN is a deep learning-based architecture proposed by You et al. for learning generative models for graphs. We replicate the results of You et al. using a reproduced implement…