Graph Neural Networks, Neural Networks, Artificial Intelligence, Data Science, Machine Learning.
GBNNs are employed to model molecular structures and predict molecular properties. By representing molecules as graphs, GBNNs can capture spatial relationships between atoms and chemical bonds, enabling accurate prediction of properties such as drug activity, toxicity, and bioavailability. This