Validity Improvement in MolGAN-Based Molecular Generation
Designing molecules that have desired properties is one of the challenging tasks of drug design. Among the many molecular generative models, a generative adversarial network (GAN), is able to generate molecule structures with desirable chemical properties via reinforcement learning. Generating valid...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10143174/ |