Generative Adversarial Network (GAN) for graph generation

Hi everyone,
I am new to neo4j data science. I have use case where I am looking for ways to generate new graphs based on a dataset of graphs. I found a post about drug compound generation using GANs (https://community.neo4j.com/t/how-to-find-similarity-between-two-graphs-in-neo4j/). Is there a way to train and deploy a GAN model using neo4j data science platform? Has anyone come across similar examples? Thank you.

Murat

Hi @mmelek,

Unfortunately there is no way to train and deploy a GAN model with the Neo4j Graph Data Science library at this time. But we shall make note of your request.

Regards,
Adam