Examples of Generative Model

[nashid]

I am not sure whether this is the correct channel to initiate discussion to should I use the GitHub issues!

I find Pytorch Geometric is easy to use and there are great examples for graph classification, matching i.e. predictive tasks. However, Pytorch Geometric lacks examples of generative models.

I am wondering whether there are any plans to include any of the following models:

• GraphRNN: https://github.com/JiaxuanYou/graph-generation

Furthermore, Pytorch Geometric lacks examples of Graph2Seq based models. It would be awesome to include consider any of the following Graph2Seq based generative models.

• Graph-to-Sequence Learning using Gated Graph Neural Networks, ACL’18
  https://github.com/beckdaniel/acl2018_graph2seq
  Using MXNet

• Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning, ACL’19
  https://github.com/Cartus/DCGCN
  Using MXNet 1.3.0

• Heterogeneous Graph Transformer for Graph-to-Sequence Learning, ACL’18
  https://github.com/QAQ-v/HetGT
  Using OpenNMT

[rusty1s]

Yes, this is always something that I wanted to add, but never had the time to do so. I would very much appreciate an initiative to start adding generative models to the library.

[orausch]

I opened a PR here: #4398