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cs.LG2026
M-Fibration Theory with Applications to Weighted Graphs
Paolo Boldi, Osvaldo M. Velarde, Hernan A. Makse
The purpose of this paper is to provide a general, comprehensive, theoretical framework that allows one to deal with fibrations on graphs labelled on a commutative monoid. This is…
cs.LG2024★ 1 cited
The Role of Fibration Symmetries in Geometric Deep Learning
Osvaldo Velarde, Lucas Parra, Paolo Boldi +1
Geometric Deep Learning (GDL) unifies a broad class of machine learning techniques from the perspectives of symmetries, offering a framework for introducing problem-specific induct…