Graph Drawing and Network Visualization GD2020
David Auber, Pavel Valtr

TL;DR
GD2020 is a conference focused on advances in graph drawing and network visualization, emphasizing geometric representations and algorithms for analyzing relational data, with a diverse international participation.
Contribution
This volume compiles recent research papers from GD2020, highlighting new methods, algorithms, and applications in graph drawing and network visualization.
Findings
Introduction of novel graph drawing algorithms
Enhanced visualization techniques for relational data
Empirical evaluations demonstrating improved clarity
Abstract
Proceedings of GD2020: This volume contains the papers presented at GD~2020, the 28th International Symposium on Graph Drawing and Network Visualization, held on September 18-20, 2020 online. Graph drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of network visualization. Graph drawing and network visualization are motivated by applications where it is crucial to visually analyse and interact with relational datasets. Information about the conference series and past symposia is maintained at http://www.graphdrawing.org. The 2020 edition of the conference was hosted by University Of British Columbia, with Will Evans as chair of the Organizing Committee. A total of 251 participants attended the conference.
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
