Published in: LIPIcs, Volume 301, 22nd International Symposium on Experimental Algorithms (SEA 2024)
Jonas Charfreitag, Christine Dahn, Michael Kaibel, Philip Mayer, Petra Mutzel, and Lukas Schürmann. Separator Based Data Reduction for the Maximum Cut Problem. In 22nd International Symposium on Experimental Algorithms (SEA 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 301, pp. 4:1-4:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
@InProceedings{charfreitag_et_al:LIPIcs.SEA.2024.4, author = {Charfreitag, Jonas and Dahn, Christine and Kaibel, Michael and Mayer, Philip and Mutzel, Petra and Sch\"{u}rmann, Lukas}, title = {{Separator Based Data Reduction for the Maximum Cut Problem}}, booktitle = {22nd International Symposium on Experimental Algorithms (SEA 2024)}, pages = {4:1--4:21}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-325-6}, ISSN = {1868-8969}, year = {2024}, volume = {301}, editor = {Liberti, Leo}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2024.4}, URN = {urn:nbn:de:0030-drops-203698}, doi = {10.4230/LIPIcs.SEA.2024.4}, annote = {Keywords: Data Reduction, Maximum Cut, Vertex Separators} }
Published in: LIPIcs, Volume 233, 20th International Symposium on Experimental Algorithms (SEA 2022)
Alexander van der Grinten, Maria Predari, and Florian Willich. A Fast Data Structure for Dynamic Graphs Based on Hash-Indexed Adjacency Blocks. In 20th International Symposium on Experimental Algorithms (SEA 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 233, pp. 11:1-11:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
@InProceedings{vandergrinten_et_al:LIPIcs.SEA.2022.11, author = {van der Grinten, Alexander and Predari, Maria and Willich, Florian}, title = {{A Fast Data Structure for Dynamic Graphs Based on Hash-Indexed Adjacency Blocks}}, booktitle = {20th International Symposium on Experimental Algorithms (SEA 2022)}, pages = {11:1--11:18}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-251-8}, ISSN = {1868-8969}, year = {2022}, volume = {233}, editor = {Schulz, Christian and U\c{c}ar, Bora}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2022.11}, URN = {urn:nbn:de:0030-drops-165453}, doi = {10.4230/LIPIcs.SEA.2022.11}, annote = {Keywords: dynamic graph data structures, sparse matrix layout, dynamic algorithms, parallel algorithms, graph analysis} }
Published in: LIPIcs, Volume 173, 28th Annual European Symposium on Algorithms (ESA 2020)
Eugenio Angriman, Maria Predari, Alexander van der Grinten, and Henning Meyerhenke. Approximation of the Diagonal of a Laplacian’s Pseudoinverse for Complex Network Analysis. In 28th Annual European Symposium on Algorithms (ESA 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 173, pp. 6:1-6:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
@InProceedings{angriman_et_al:LIPIcs.ESA.2020.6, author = {Angriman, Eugenio and Predari, Maria and van der Grinten, Alexander and Meyerhenke, Henning}, title = {{Approximation of the Diagonal of a Laplacian’s Pseudoinverse for Complex Network Analysis}}, booktitle = {28th Annual European Symposium on Algorithms (ESA 2020)}, pages = {6:1--6:24}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-162-7}, ISSN = {1868-8969}, year = {2020}, volume = {173}, editor = {Grandoni, Fabrizio and Herman, Grzegorz and Sanders, Peter}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2020.6}, URN = {urn:nbn:de:0030-drops-128723}, doi = {10.4230/LIPIcs.ESA.2020.6}, annote = {Keywords: Laplacian pseudoinverse, electrical centrality measures, uniform spanning tree, effective resistance, parallel sampling} }