Composite Graph Neural Networks for Molecular Property Prediction
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms25126583
Abstract: Graph Neural Networks have proven to be very valuable models for the solution of a wide variety of problems on molecular graphs, as well as in many other research fields involving graph-structured data. Molecules are… read more here.
Keywords: networks molecular; graph neural; composite graph; neural networks ... See more keywords