Molecular generation using gated graph convolutional neural networks and reinforcement learning

The design of molecules with bespoke chemical properties has wide-ranging applications in materials science, chemistry and drug-discovery. This can be formulated as a supervised learning problem, where we first seek to encode discrete molecular graphs to continuous latent representations, and then u...

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Bibliographic Details
Main Author: Divyansh, Gupta
Other Authors: Xavier Bresson
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76936
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Institution: Nanyang Technological University
Language: English