Proceedings of the 31st International Symposium on Graph Drawing and Network Visualization (GD 2023)
Michael A. Bekos, Markus Chimani

TL;DR
This document compiles peer-reviewed papers from GD 2023, showcasing recent advances in graph drawing and network visualization through a collection of research articles.
Contribution
It provides a comprehensive collection of the latest research papers in graph drawing and network visualization from GD 2023.
Findings
Peer-reviewed research papers presented at GD 2023
Includes revised and accepted papers with optional appendices
Published in Springer Lecture Notes in Computer Science
Abstract
This is the arXiv index for the electronic proceedings of GD 2023, which contains the peer-reviewed and revised accepted papers with an optional appendix. Proceedings (without appendices) are also to be published by Springer in the Lecture Notes in Computer Science series.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics
