Projects funded by the NCN
Transformer-based methods for novel active chemical compounds
2019/35/N/ST6/02125
Keywords:
deep learning neural networks cheminformatics chemical compounds generation graph convolutional neural networks transformer architecture self-attention mechanism reinforcement learning
Descriptors:
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Uniwersytet Jagielloński, Wydział Matematyki i Informatyki
woj. małopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 3
Call: PRELUDIUM 18 - announced on 2019-09-16
Amount awarded: 94 332 PLN
Project start date (Y-m-d): 2020-08-10
Project end date (Y-m-d): 2022-08-09
Project duration:: 24 months (the same as in the proposal)
Project status: Project completed
Project description
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