Abstract
This report describes the 29th Annual Graph Drawing Contest, held in conjunction with the 30th International Symposium on Graph Drawing and Network Visualization (GD’22) in Tokyo, Japan. Due to the continuing global COVID-19 pandemic, the conference and thus also the contest was held in a hybrid format, with both on-site and online participants. The mission of the Graph Drawing Contest is to monitor and challenge the current state of the art in graph-drawing technology.
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Reference
Specker, E., Fried, E.I., Rosenberg, R., Leder, H.: Associating with art: a network model of aesthetic effects. Collabra Psychol. 7(1), 24085 (2021)
Acknowledgments
The contest committee would like to thank the organizing and program committee of the conference; the organizers who provided us with a room with hardware for the live challenge and monetary prizes; the generous sponsors of the symposium; and all the contestants for their participation. Special thanks goes to Franz Wiering for providing the data for the Opera Network and to Specker, Fried, Rosenberg, and Leder for sharing the data for the Aesthetic Experiences Network. Further details including all submitted drawings and challenge graphs can be found at the contest website:
http://www.graphdrawing.org/gdcontest/contest2022/results.html
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Kindermann, P., Klute, F., Mchedlidze, T., Meulemans, W. (2023). Graph Drawing Contest Report. In: Angelini, P., von Hanxleden, R. (eds) Graph Drawing and Network Visualization. GD 2022. Lecture Notes in Computer Science, vol 13764. Springer, Cham. https://doi.org/10.1007/978-3-031-22203-0_33
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DOI: https://doi.org/10.1007/978-3-031-22203-0_33
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