Alexander van der Grinten

According to our database, Alexander van der Grinten authored at least 23 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Scalable Katz Ranking Computation in Large Static and Dynamic Graphs.

Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke

ACM J. Exp. Algorithmics, 2022

Algorithms for Large-scale Network Analysis and the NetworKit Toolkit.

Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck

CoRR, 2022

A Fast Data Structure for Dynamic Graphs Based on Hash-Indexed Adjacency Blocks.

Alexander van der Grinten, Maria Predari, Florian Willich

Proceedings of the 20th International Symposium on Experimental Algorithms, 2022

An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmonic Centrality.

Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022

Interactive Visualization of Protein RINs using NetworKit in the Cloud.

Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke, Alexander van der Grinten, Henning Meyerhenke

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs.

Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke

Proceedings of the IEEE International Conference on Cluster Computing, 2022

Algorithms for Large-Scale Network Analysis and the NetworKit Toolkit.

Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck

Proceedings of the Algorithms for Big Data - DFG Priority Program 1736, 2022

2021

New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups.

Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

SAT-and-Reduce for Vertex Cover: Accelerating Branch-and-Reduce by SAT Solving.

Rick Plachetta, Alexander van der Grinten

Proceedings of the Symposium on Algorithm Engineering and Experiments, 2021

Group-Harmonic and Group-Closeness Maximization - Approximation and Engineering.

Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert, Alexander van der Grinten, Henning Meyerhenke

Proceedings of the Symposium on Algorithm Engineering and Experiments, 2021

2020

PACE-Challenge-2020-HU-Berlin-Exact-Track.

Narek Bojikian, Alexander van der Grinten, Falko Hegerfeld, Laurence Alec Kluge, Stefan Kratsch

Dataset, June, 2020

Scaling up network centrality computations - A brief overview.

Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke

it Inf. Technol., 2020

High-Quality Hierarchical Process Mapping.

Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz

Proceedings of the 18th International Symposium on Experimental Algorithms, 2020

Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling.

Alexander van der Grinten, Henning Meyerhenke

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis.

Eugenio Angriman, Maria Predari, Alexander van der Grinten, Henning Meyerhenke

Proceedings of the 28th Annual European Symposium on Algorithms, 2020

Group Centrality Maximization for Large-scale Graphs.

Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke

Proceedings of the Symposium on Algorithm Engineering and Experiments, 2020

2019

Guidelines for Experimental Algorithmics in Network Analysis.

Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas

CoRR, 2019

Guidelines for Experimental Algorithmics: A Case Study in Network Analysis.

Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas

Algorithms, 2019

Parallel Adaptive Sampling with Almost No Synchronization.

Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

Scaling up Network Centrality Computations ^*.

Alexander van der Grinten, Henning Meyerhenke

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Local Search for Group Closeness Maximization on Big Graphs.

Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Design, implementation and evaluation of a distributed CDCL framework.

Alexander van der Grinten

PhD thesis, 2018

2013

Effectiveness of pre- and inprocessing for CDCL-based SAT solving.

Andreas Wotzlaw, Alexander van der Grinten, Ewald Speckenmeyer

CoRR, 2013