Document
Graph Harvester (Software Abstract)
Authors
Tim Hegemann 
,
Sebastian Kempf ,
Alexander Wolff
-
Part of:
Volume:
32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Graph Drawing and Network Visualization (GD) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-10-28
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PDF
LIPIcs.GD.2024.58.pdf
- Filesize: 0.91 MB
- 3 pages
Author Details
Supplementary Materials
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Software (Source Code)
https://github.com/JuliusDeynet/graph_harvester
Julius Deynet, Tim Hegemann, Sebastian Kempf, Alexander Wolff. Graph Harvester (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/artifacts.22518
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archived version
References
- Christopher Auer, Christian Bachmaier, Franz Brandenburg, Andreas Gleißner, and Josef Reislhuber. Optical graph recognition. J. Graph Algorithms Appl., 17(4):541-565, 2013. URL: https://doi.org/10.7155/jgaa.00303.
- Michael A. Bekos, Walter Didimo, Giuseppe Liotta, Saeed Mehrabi, and Fabrizio Montecchiani. On RAC drawings of 1-planar graphs. Theoret. Comput. Sci., 689:48-57, 2017. URL: https://doi.org/10.1016/j.tcs.2017.05.039.
- Gunnar Brinkmann, Kris Coolsaet, Gauvain Devillez, Jan Goedgebeur, and Hadrien Mélot. House of Graphs. Website, accessed on Sep. 6, 2024. URL: https://houseofgraphs.org.
- Kris Coolsaet, Sven D'hondt, and Jan Goedgebeur. House of Graphs 2.0: A database of interesting graphs and more. Discret. Appl. Math., 325:97-107, 2023. URL: https://doi.org/10.1016/J.DAM.2022.10.013.
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Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff. Graph Harvester. Software, (visited on 2024-10-14). URL:
https://github.com/JuliusDeynet/graph_harvester
archived version
full metadata available at: https://doi.org/10.4230/artifacts.22518 - Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff. Graph Harvester. Website, accessed on Sep. 6, 2024. URL: https://go.uniwue.de/graph-harvester.
- Sebastian Kempf, Markus Krug, and Frank Puppe. KIETA: Key-insight extraction from scientific tables. Appl. Intell., 53:9512-9530, 2023. URL: https://doi.org/10.1007/s10489-022-03957-8.