Sheaf Neural Networks and biomedical applications

Aneeqa Mehrab; Jan Willem Van Looy; Pietro Demurtas; Stefano Iotti; Emil Malucelli; Francesca Rossi; Ferdinando Zanchetta; Rita Fioresi

Sheaf Neural Networks and biomedical applications

Machine Learning 2026-03-20 v2 Artificial Intelligence Neural and Evolutionary Computing

Authors: Aneeqa Mehrab , Jan Willem Van Looy , Pietro Demurtas , Stefano Iotti , Emil Malucelli , Francesca Rossi , Ferdinando Zanchetta , Rita Fioresi

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Abstract

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.

Keywords

graph neural network graph algorithms

Cite

@article{arxiv.2602.00159,
  title  = {Sheaf Neural Networks and biomedical applications},
  author = {Aneeqa Mehrab and Jan Willem Van Looy and Pietro Demurtas and Stefano Iotti and Emil Malucelli and Francesca Rossi and Ferdinando Zanchetta and Rita Fioresi},
  journal= {arXiv preprint arXiv:2602.00159},
  year   = {2026}
}

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