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Software Abstract
Graph Harvester (Software Abstract)

Authors: Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff

Published in: LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)


Abstract
We present Graph Harvester, a website for extracting graphs from illustrations in scientific papers. For every graph that has been extracted, Graph Harvester queries the graph database House of Graphs. If the graph is not already present there, the user can upload the graph into the database, possibly after modifying it, and with a reference to the paper that contains the drawing of the graph.

Cite as

Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff. Graph Harvester (Software Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 58:1-58:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{deynet_et_al:LIPIcs.GD.2024.58,
  author =	{Deynet, Julius and Hegemann, Tim and Kempf, Sebastian and Wolff, Alexander},
  title =	{{Graph Harvester}},
  booktitle =	{32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)},
  pages =	{58:1--58:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-343-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{320},
  editor =	{Felsner, Stefan and Klein, Karsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.58},
  URN =		{urn:nbn:de:0030-drops-213427},
  doi =		{10.4230/LIPIcs.GD.2024.58},
  annote =	{Keywords: House of Graphs, Graph recognition, Information extraction}
}
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