Louis Boucherie — accepted AI-conference papers

2024

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model

Nikolaos Nakis, Abdulkadir Celikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup

AISTATS 2024poster

Understanding the structure and dynamics of scientific research, i.e., the science of science (SciSci), has become an important area of research in order to address imminent questions including how scholars interact to advance science, how disciplines are related and evolve, and how research impact…

Cited by 0 Source ↗PDF ↗Scholar ↗

2023

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model

Nikolaos Nakis, Abdulkadir Celikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund +2

AISTATS 2023poster

Graph representation learning has become a prominent tool for the characterization and understanding of the structure of networks in general and social networks in particular. Typically, these representation learning approaches embed the networks into a low-dimensional space in which the role of eac…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗