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  School of Electrical Engineering and Computer Science


Master's thesis presentation in Computer Science 2020


Monday 11 May at 11.00 (sharp)

Link to on-line presentation with Zoom

Prediction of compound solubility in Dimethyl sulfoxide using machine learning methods including graph neural networks.
  Sammanfattning   Abstract   Thesis draft

Presenter:  Viktor Norrsjö
Programme:   TSCRM, CELTE    Course: DA236X
Supervisor:  Hedvig Kjellström
Examiner:  Pawel Herman
Opponent: Adrian Lökk    (DA231X, examiner Erik Fransén)

Session chair is Pawel Herman