GVA: Gated Variational Autoencoder for de novo molecule generation
Author:
Affiliation:
1. National institute of Technology,Computer Science and Engineering,Uttarakhand,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9986304/9986356/09986367.pdf?arnumber=9986367
Reference21 articles.
1. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
2. Generative Recurrent Networks for De Novo Drug Design
3. Objective-reinforced generative adversarial networks (ORGAN) for sequence generation models;guimaraes;ArXiv Preprint,2017
4. Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control;jaques;International Conference on Machine Learning,2017
5. Grammar variational autoencoder;kusner;International Conference on Machine Learning,2017
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Nc-vae: normalised conditional diverse variational autoencoder guided de novo molecule generation;The Journal of Supercomputing;2024-06-06
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