3 papers
cs.LG2024
Towards understanding Diffusion Models (on Graphs)
Solveig Klepper
Diffusion models have emerged from various theoretical and methodological perspectives, each offering unique insights into their underlying principles. In this work, we provide an…
cs.LG2022
Relating graph auto-encoders to linear models
Solveig Klepper, Ulrike von Luxburg
Graph auto-encoders are widely used to construct graph representations in Euclidean vector spaces. However, it has already been pointed out empirically that linear models on many t…
cs.LG2020
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees
Solveig Klepper, Christian Elbracht, Diego Fioravanti +4
Originally, tangles were invented as an abstract tool in mathematical graph theory to prove the famous graph minor theorem. In this paper, we showcase the practical potential of ta…