187 citations · 581 across the 39 of their papers we have counts for
8 papers · 1 filter
Generating realistic scaled complex networks
Christian L. Staudt, Michael Hamann, Alexander Gutfraind +2
Research on generative models is a central project in the emerging field of network science, and it studies how statistical patterns found in real networks could be generated by fo…
Mathematical Foundations of the GraphBLAS
Jeremy Kepner, Peter Aaltonen, David Bader +13
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix based graph algorithms to the broadest possible audience. Mathematically the Graph- BLAS…
Estimating Current-Flow Closeness Centrality with a Multigrid Laplacian Solver
Elisabetta Bergamini, Michael Wegner, Dimitar Lukarski +1
Matrices associated with graphs, such as the Laplacian, lead to numerous interesting graph problems expressed as linear systems. One field where Laplacian linear systems play a rol…
Generating massive complex networks with hyperbolic geometry faster in practice
Moritz von Looz, Mustafa Özdayi, Sören Laue +1
Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data sets. The commonly used…
Better partitions of protein graphs for subsystem quantum chemistry
Moritz von Looz, Mario Wolter, Christoph R. Jacob +1
Determining the interaction strength between proteins and small molecules is key to analyzing their biological function. Quantum-mechanical calculations such as \emph{Density Funct…
Many-to-many Correspondences between Partitions: Introducing a Cut-based Approach
Roland Glantz, Henning Meyerhenke
Let and be finite partitions of the set . Finding good correspondences between the parts of and those of is helpful in…