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Alexander van der Grinten
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2020 – today
- 2022
- [j3]Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke:
Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. ACM J. Exp. Algorithmics 27: 1.7:1-1.7:16 (2022) - [c15]Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke:
Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs. CLUSTER 2022: 429-439 - [c14]Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke, Alexander van der Grinten, Henning Meyerhenke:
Interactive Visualization of Protein RINs using NetworKit in the Cloud. IPDPS Workshops 2022: 255-264 - [c13]Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke:
An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmonic Centrality. SBAC-PAD 2022: 100-109 - [c12]Alexander van der Grinten, Maria Predari, Florian Willich:
A Fast Data Structure for Dynamic Graphs Based on Hash-Indexed Adjacency Blocks. SEA 2022: 11:1-11:18 - [p1]Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck:
Algorithms for Large-Scale Network Analysis and the NetworKit Toolkit. Algorithms for Big Data 2022: 3-20 - [i14]Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke:
Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs. CoRR abs/2202.08808 (2022) - [i13]Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke, Alexander van der Grinten, Henning Meyerhenke:
Interactive Visualization of Protein RINs using NetworKit in the Cloud. CoRR abs/2203.01263 (2022) - [i12]Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck:
Algorithms for Large-scale Network Analysis and the NetworKit Toolkit. CoRR abs/2209.13355 (2022) - 2021
- [c11]Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert, Alexander van der Grinten, Henning Meyerhenke:
Group-Harmonic and Group-Closeness Maximization - Approximation and Engineering. ALENEX 2021: 154-168 - [c10]Rick Plachetta, Alexander van der Grinten:
SAT-and-Reduce for Vertex Cover: Accelerating Branch-and-Reduce by SAT Solving. ALENEX 2021: 169-180 - [c9]Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke:
New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. SDM 2021: 136-144 - [i11]Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke:
New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. CoRR abs/2101.06192 (2021) - 2020
- [j2]Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Scaling up network centrality computations - A brief overview. it Inf. Technol. 62(3-4): 189-204 (2020) - [c8]Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke:
Group Centrality Maximization for Large-scale Graphs. ALENEX 2020: 56-69 - [c7]Eugenio Angriman, Maria Predari, Alexander van der Grinten, Henning Meyerhenke:
Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis. ESA 2020: 6:1-6:24 - [c6]Alexander van der Grinten, Henning Meyerhenke:
Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling. IPDPS 2020: 527-535 - [c5]Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz:
High-Quality Hierarchical Process Mapping. SEA 2020: 4:1-4:15 - [d1]Narek Bojikian, Alexander van der Grinten, Falko Hegerfeld, Laurence Alec Kluge, Stefan Kratsch:
PACE-Challenge-2020-HU-Berlin-Exact-Track. Zenodo, 2020 - [i10]Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz:
High-Quality Hierarchical Process Mapping. CoRR abs/2001.07134 (2020) - [i9]Eugenio Angriman, Maria Predari, Alexander van der Grinten, Henning Meyerhenke:
Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis. CoRR abs/2006.13679 (2020) - [i8]Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert, Alexander van der Grinten, Henning Meyerhenke:
Group-Harmonic and Group-Closeness Maximization - Approximation and Engineering. CoRR abs/2010.15435 (2020)
2010 – 2019
- 2019
- [j1]Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas:
Guidelines for Experimental Algorithmics: A Case Study in Network Analysis. Algorithms 12(7): 127 (2019) - [c4]Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke:
Local Search for Group Closeness Maximization on Big Graphs. IEEE BigData 2019: 711-720 - [c3]Alexander van der Grinten, Henning Meyerhenke:
Scaling up Network Centrality Computations *. DATE 2019: 1319-1324 - [c2]Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Parallel Adaptive Sampling with Almost No Synchronization. Euro-Par 2019: 434-447 - [i7]Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Parallel Adaptive Sampling with almost no Synchronization. CoRR abs/1903.09422 (2019) - [i6]Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas:
Guidelines for Experimental Algorithmics in Network Analysis. CoRR abs/1904.04690 (2019) - [i5]Alexander van der Grinten, Henning Meyerhenke:
Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling. CoRR abs/1910.11039 (2019) - [i4]Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke:
Group Centrality Maximization for Large-scale Graphs. CoRR abs/1910.13874 (2019) - [i3]Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke:
Local Search for Group Closeness Maximization on Big Graphs. CoRR abs/1911.03360 (2019) - 2018
- [b1]Alexander van der Grinten:
Design, implementation and evaluation of a distributed CDCL framework. University of Cologne, Germany, 2018 - [c1]Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke:
Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. ESA 2018: 42:1-42:14 - [i2]Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke:
Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. CoRR abs/1807.03847 (2018) - 2013
- [i1]Andreas Wotzlaw, Alexander van der Grinten, Ewald Speckenmeyer:
Effectiveness of pre- and inprocessing for CDCL-based SAT solving. CoRR abs/1310.4756 (2013)
Coauthor Index
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