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Graph Neural Networks for Drug Discovery

Primary supervisor

Shirui Pan

Graph neural networks (GNNs) are emerging techniques for AI. As many chemical compounds and proteins in biology can be modelled as graphs, GNNs have great potentials for drug discovery. This research will investigate new GNN based techniques to accelerate the process of drug discovery. 

Required knowledge

Graph neural networks

Python

Pytorch.

Project funding

Project based scholarship

Learn more about minimum entry requirements.