5 papers
Robustness in sparse artificial neural networks trained with adaptive topology
Bendegúz Sulyok, Gergely Palla, Filippo Radicchi +1
We investigate the robustness of sparse artificial neural networks trained with adaptive topology. We focus on a simple yet effective architecture consisting of three sparse layers…
Network geometry of the Drosophila brain
Bendegúz Sulyok, Sámuel G. Balogh, Gergely Palla
The recent reconstruction of the Drosophila brain provides a neural network of unprecedented size and level of details. In this work, we study the geometrical properties of this sy…
Hierarchy and ranking in pairwise sports contests
Bogdán Asztalos, Boldizsár Balázs, Gergely Palla +1
Ranking athletes by their performance in competitions and tournaments is common in every popular sport and has significant benefits that contribute to both the organization and str…
Community detection in hypergraphs through hyperedge percolation
Bianka Kovács, Barnabás Benedek, Gergely Palla
Complex networks often exhibit community structure, with communities corresponding to denser subgraphs in which nodes are closely linked. When modelling systems where interactions…
CLOVE: Travelling Salesman's approach to hyperbolic embeddings of complex networks with communities
Sámuel G. Balogh, Bendegúz Sulyok, Tamás Vicsek +1
The embedding of complex networks into metric spaces has become a research topic of high interest with a wide variety of proposed methods. Low dimensional hyperbolic spaces offer a…