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arXiv:2602.00159 (cs)
[Submitted on 29 Jan 2026 (v1), last revised 19 Mar 2026 (this version, v2)]

Title:Sheaf Neural Networks and biomedical applications

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.
Comments: Bibliography updated
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)
Cite as: arXiv:2602.00159 [cs.LG]
  (or arXiv:2602.00159v2 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2602.00159

Submission history

From: Ferdinando Zanchetta [view email]
[v1] Thu, 29 Jan 2026 19:36:32 UTC (46 KB)
[v2] Thu, 19 Mar 2026 14:16:00 UTC (19 KB)
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