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