Building attention and edge message passing neural networks for bioactivity and physical–chemical property prediction

Abstract Neural Message Passing for graphs is a promising and relatively recent approach for applying Machine Learning to networked data. As molecules can be described intrinsically as a molecular graph, it makes sense to apply these techniques to improve molecular property prediction in the field o... View More