Post #396

Survey: Utilising Graph Machine Learning within Drug Discovery and Development A new survey with Michael Bronstein and his colleagues on application of GNNs to drug discovery. This is very exciting line of research and I bet there will be much more effort in 2021 not only from the academia but also from the startups and big pharmacies. In this domain graphs appear as a natural structure to model relationships in molecules or more complex bio entities, for examples protein to protein interactions. There are also many valuable tasks such as target identification, molecule property prediction, de-novo drug design and more. Relation Therapeutics, a London-based startup that also participates in writing this survey, even has an opening for Graph ML researcher.