Published in: LIPIcs, Volume 233, 20th International Symposium on Experimental Algorithms (SEA 2022)
Lars Gottesbüren, Tobias Heuer, and Peter Sanders. Parallel Flow-Based Hypergraph Partitioning. In 20th International Symposium on Experimental Algorithms (SEA 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 233, pp. 5:1-5:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
@InProceedings{gottesburen_et_al:LIPIcs.SEA.2022.5, author = {Gottesb\"{u}ren, Lars and Heuer, Tobias and Sanders, Peter}, title = {{Parallel Flow-Based Hypergraph Partitioning}}, booktitle = {20th International Symposium on Experimental Algorithms (SEA 2022)}, pages = {5:1--5:21}, 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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2022.5}, URN = {urn:nbn:de:0030-drops-165393}, doi = {10.4230/LIPIcs.SEA.2022.5}, annote = {Keywords: multilevel hypergraph partitioning, shared-memory algorithms, maximum flow} }
Published in: LIPIcs, Volume 204, 29th Annual European Symposium on Algorithms (ESA 2021)
Lars Gottesbüren, Tobias Heuer, Peter Sanders, Christian Schulz, and Daniel Seemaier. Deep Multilevel Graph Partitioning. In 29th Annual European Symposium on Algorithms (ESA 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 204, pp. 48:1-48:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{gottesburen_et_al:LIPIcs.ESA.2021.48, author = {Gottesb\"{u}ren, Lars and Heuer, Tobias and Sanders, Peter and Schulz, Christian and Seemaier, Daniel}, title = {{Deep Multilevel Graph Partitioning}}, booktitle = {29th Annual European Symposium on Algorithms (ESA 2021)}, pages = {48:1--48:17}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-204-4}, ISSN = {1868-8969}, year = {2021}, volume = {204}, editor = {Mutzel, Petra and Pagh, Rasmus and Herman, Grzegorz}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2021.48}, URN = {urn:nbn:de:0030-drops-146298}, doi = {10.4230/LIPIcs.ESA.2021.48}, annote = {Keywords: graph partitioning, graph algorithms, multilevel, shared-memory, parallel} }
Published in: Dagstuhl Manifestos, Volume 9, Issue 1 (2021)
Abraham Bernstein, Claes de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Moeller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, and Theresa Zueger. Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). In Dagstuhl Manifestos, Volume 9, Issue 1, pp. 43-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@Article{bernstein_et_al:DagMan.9.1.43, author = {Bernstein, Abraham and de Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina and Baden, Christian and Beam, Michael A. and Hauer, Marc P. and Heitz, Lucien and J\"{u}rgens, Pascal and Katzenbach, Christian and Kille, Benjamin and Klimkiewicz, Beate and Loosen, Wiebke and Moeller, Judith and Radanovic, Goran and Shani, Guy and Tintarev, Nava and Tolmeijer, Suzanne and van Atteveldt, Wouter and Vrijenhoek, Sanne and Zueger, Theresa}, title = {{Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482)}}, pages = {43--61}, journal = {Dagstuhl Manifestos}, ISSN = {2193-2433}, year = {2021}, volume = {9}, number = {1}, editor = {Bernstein, Abraham and de Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina and Baden, Christian and Beam, Michael A. and Hauer, Marc P. and Heitz, Lucien and J\"{u}rgens, Pascal and Katzenbach, Christian and Kille, Benjamin and Klimkiewicz, Beate and Loosen, Wiebke and Moeller, Judith and Radanovic, Goran and Shani, Guy and Tintarev, Nava and Tolmeijer, Suzanne and van Atteveldt, Wouter and Vrijenhoek, Sanne and Zueger, Theresa}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/DagMan.9.1.43}, URN = {urn:nbn:de:0030-drops-137456}, doi = {10.4230/DagMan.9.1.43}, annote = {Keywords: News, recommender systems, diversity} }
Published in: OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019)
Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpuş, Heiner Stuckenschmidt, and Anette Frank. Exploiting Background Knowledge for Argumentative Relation Classification. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 8:1-8:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
@InProceedings{kobbe_et_al:OASIcs.LDK.2019.8, author = {Kobbe, Jonathan and Opitz, Juri and Becker, Maria and Hulpu\c{s}, Ioana and Stuckenschmidt, Heiner and Frank, Anette}, title = {{Exploiting Background Knowledge for Argumentative Relation Classification}}, booktitle = {2nd Conference on Language, Data and Knowledge (LDK 2019)}, pages = {8:1--8:14}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-105-4}, ISSN = {2190-6807}, year = {2019}, volume = {70}, editor = {Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.8}, URN = {urn:nbn:de:0030-drops-103723}, doi = {10.4230/OASIcs.LDK.2019.8}, annote = {Keywords: argument structure analysis, background knowledge, argumentative functions, argument classification, commonsense knowledge relations} }
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