172 citations · 355 across the 11 of their papers we have counts for
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cs.LG2019★ 172 cited
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song +6
We propose a new family of efficient and expressive deep generative models of graphs, called Graph Recurrent Attention Networks (GRANs). Our model generates graphs one block of nod…
stat.ML2019★ 19 cited
Autoregressive Energy Machines
Charlie Nash, Conor Durkan
Neural density estimators are flexible families of parametric models which have seen widespread use in unsupervised machine learning in recent years. Maximum-likelihood training ty…