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Eugenio Angriman
Person information
- affiliation: Humboldt University of Berlin, Germany
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2020 – today
- 2022
- [b1]Eugenio Angriman:
Scalable Algorithms for the Analysis of Massive Networks. HU Berlin, Germany, 2022 - [j3]Eugenio Angriman
, Michal Boron
, Henning Meyerhenke
:
A Batch-dynamic Suitor Algorithm for Approximating Maximum Weighted Matching. ACM J. Exp. Algorithmics 27: 1.6:1-1.6:41 (2022) - [c9]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 - [p2]Eugenio Angriman, Patrick Bisenius, Elisabetta Bergamini, Henning Meyerhenke:
Computing Top-k Closeness Centrality in Fully Dynamic Graphs. Massive Graph Analytics 2022: 161-192 - [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 - [i11]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) - [i10]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
- [c8]Eugenio Angriman, Henning Meyerhenke, Christian Schulz, Bora Uçar:
Fully-dynamic Weighted Matching Approximation in Practice. ACDA 2021: 32-44 - [c7]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 - [c6]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 - [i9]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) - [i8]Eugenio Angriman, Henning Meyerhenke, Christian Schulz, Bora Uçar:
Fully-dynamic Weighted Matching Approximation in Practice. CoRR abs/2104.13098 (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) - [c5]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 - [c4]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 - [i7]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) - [i6]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) - [c3]Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke:
Local Search for Group Closeness Maximization on Big Graphs. IEEE BigData 2019: 711-720 - [c2]Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Parallel Adaptive Sampling with Almost No Synchronization. Euro-Par 2019: 434-447 - [i5]Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Parallel Adaptive Sampling with almost no Synchronization. CoRR abs/1903.09422 (2019) - [i4]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) - [i3]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) - [i2]Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke
:
Local Search for Group Closeness Maximization on Big Graphs. CoRR abs/1911.03360 (2019) - 2018
- [c1]Patrick Bisenius, Elisabetta Bergamini, Eugenio Angriman, Henning Meyerhenke
:
Computing Top-k Closeness Centrality in Fully-dynamic Graphs. ALENEX 2018: 21-35 - 2017
- [i1]Patrick Bisenius, Elisabetta Bergamini, Eugenio Angriman, Henning Meyerhenke:
Computing Top-k Closeness Centrality in Fully-dynamic Graphs. CoRR abs/1710.01143 (2017)
Coauthor Index
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