4 papers
Gremban Expansion for Signed Networks: Algebraic and Combinatorial Foundations for Community-Faction Detection
Fernando Diaz-Diaz, Karel Devriendt, Renaud Lambiotte
This article deals with the characterization and detection of community and faction structures in signed networks. We approach the study of these mesoscale structures through the l…
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
Diaaeldin Taha, James Chapman, Marzieh Eidi +2
Topological deep learning (TDL) has emerged as a powerful tool for modeling higher-order interactions in relational data. However, phenomena such as oversquashing in topological me…
Pearson Correlations on Networks: Corrigendum
Michele Coscia, Karel Devriendt
Recently, the first author proposed a measure to calculate Pearson correlations for node values expressed in a network, by taking into account distances or metrics defined on the n…
Fast Node Vector Distance Computations using Laplacian Solvers
Michele Coscia, Karel Devriendt
Complex networks are a useful tool to investigate various phenomena in social science, economics, and logistics. Node Vector Distance (NVD) is an emerging set of techniques allowin…