This repository implements Distilled Graph Attention Policy Networks (DGAPNs), a curiosity-driven reinforcement learning model to generate novel graph-structured chemical representations.

njchoma, updated 🕥 2022-01-21 22:08:48

Distilled Graph Attention Policy Network

This repository is the archive of our new repository. The paper can be found here.


Contributions are welcome! All content here is licensed under the MIT license.

Nicholas Choma
GitHub Repository