Penta: Towards Visualizing Compound Graphs as Set-Typed Data

Henry Ehlers, Mario Kerndler, Renata Raidou

2025

Abstract

Compound graphs are graphs whose nodes, in addition to topological connections, share group-level relationships. The need to incorporate both topological and group-level relationships makes them inherently challenging to visualize, especially for large data. We present Penta, a prototypical dashboard that, by combining elements of compound graph and set visualization, provides a complete view of both types of relationships. To this end, we employ five linked views that provide insight into a compound graph’s i) global and set-local topology using both hypernode and traditional node-link diagrams, respectively, ii) set and entity-level relationship and identity using similarity matrices linked by a bipartite node-link diagram, as well as iii) node-centric topology across sets visualized as a layered node-link diagram. We demonstrate the workflow and advantages of Penta in three small-scale case studies, using character co-occurrence networks as well as biochemical pathway data. While still a prototype, the proposed dashboard shows promise in facilitating a complete visual exploration of the topology and group-level relationships present in compound graphs, simultaneously.

Paper Citation

in Harvard Style

Ehlers H., Kerndler M. and Raidou R. (2025). Penta: Towards Visualizing Compound Graphs as Set-Typed Data. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-728-3, SciTePress, pages 913-921. DOI: 10.5220/0013242300003912

in Bibtex Style

@conference{ivapp25,
author={Henry Ehlers and Mario Kerndler and Renata Raidou},
title={Penta: Towards Visualizing Compound Graphs as Set-Typed Data},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2025},
pages={913-921},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013242300003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - Penta: Towards Visualizing Compound Graphs as Set-Typed Data
SN - 978-989-758-728-3
AU - Ehlers H.
AU - Kerndler M.
AU - Raidou R.
PY - 2025
SP - 913
EP - 921
DO - 10.5220/0013242300003912
PB - SciTePress