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Karel Devriendt

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • cs.DM1
  • cs.LG1
ORCID 0000-0001-5495-2443

identity via Semantic Scholar / OpenAlex

activity
20232025
collaborators

4 papers

cs.DM2025

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…

cs.LG2025

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…

cs.SI2024

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…

cs.SI2023

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…

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