AI RESEARCH
Sheaf Neural Networks and biomedical applications
arXiv CS.AI
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ArXi:2602.00159v2 Announce Type: replace-cross 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 and outperform the most popular graph neural networks (GNNs) as graph convolutional networks (GCNs), graph attention networks (GAT) and GraphSage.