Skip to content
/ HAEGAN Public

Official implementation of the TMLR paper "Autoencoding Hyperbolic Representation for Adversarial Generation"

License

Notifications You must be signed in to change notification settings

EricZQu/HAEGAN

Repository files navigation

Autoencoding Hyperbolic Representation for Adversarial Generation

Environment

The environment is exported to environment.yml. If you want to have a fresh install, the essential packages are "pytorch, geoopt, rdkit, sklean".

Data

Please see data/README.md.

Step 1. Train HJTAE

Please see 1_HJTAE/README.md.

Step 2. Train HWGAN

Please see 2_HWGAN/README.md.

About

Official implementation of the TMLR paper "Autoencoding Hyperbolic Representation for Adversarial Generation"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages