Phylogenies as graphs: structured neural networks improve host origin predictions from paramyxovirus sequences
A novel graph neural network approach is applied which explicitly represents viral phylogeny in model architecture to predict hosts of origin within the paramyxoviruses, a family of viruses that contains numerous endemic and emerging threats to human and animal health.