Balanced Graph Partition Refinement using the Graph p-Laplacian. - Toby Simpson; Dimosthenis Pasadakis; Drosos Kourounis; Kohei Fujita; Takuma Yamaguchi; Tsuyoshi Ichimura; Olaf Schenk (PASC, 2018)

K-way p-spectral clustering on Grassmann manifolds. - Dimosthenis Pasadakis; Christie Louis Alappat; Olaf Schenk; Gerhard Wellein (CoRR, 2020)

Block-enhanced precision matrix estimation for large-scale datasets. - Aryan Eftekhari; Dimosthenis Pasadakis; Matthias Bollhöfer; Simon Scheidegger; Olaf Schenk (J. Comput. Sci., 2021)

Multiway p-spectral graph cuts on Grassmann manifolds. - Dimosthenis Pasadakis; Christie Louis Alappat; Olaf Schenk; Gerhard Wellein (Mach. Learn., 2022)

Sparse Quadratic Approximation for Graph Learning. - Dimosthenis Pasadakis; Matthias Bollhöfer; Olaf Schenk (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multilevel Diffusion Based Spectral Graph Clustering. - Malik Lechekhab; Dimosthenis Pasadakis; Olaf Schenk (HPEC, 2024)

GAMLNet: a graph based framework for the detection of money laundering. - Julien Schmidt; Dimosthenis Pasadakis; Madan Sathe; Olaf Schenk (SDS, 2024)

Nonlinear Modified PageRank Problem for Local Graph Partitioning. - Costy Kodsi; Dimosthenis Pasadakis (CoRR, 2024)

Algorithm 1042: Sparse Precision Matrix Estimation with SQUIC. - Aryan Eftekhari; Lisa Gaedke-Merzhäuser; Dimosthenis Pasadakis; Matthias Bollhöfer; Simon Scheidegger; Olaf Schenk (ACM Trans. Math. Softw., 2024)