LGJan 29
Sheaf Neural Networks and biomedical applicationsAneeqa Mehrab, Jan Willem Van Looy, Pietro Demurtas et al.
The purpose of this paper is to elucidate the theory and mathematical modelling behind the sheaf neural network (SNN) algorithm and then show how SNN can effectively answer to biomedical questions in a concrete case study and outperform the most popular graph neural networks (GNNs) as graph convolutional networks (GCNs), graph attention networks (GAT) and GraphSage.