PhD Student · Monash University

Gavin J. Mooney

I research graph drawing — how the visual structure of node-link diagrams shapes readability, perception, and the metrics we use to evaluate them.

Publications Get in touch

About

I am a PhD student and Teaching Associate at the Embodied Visualisation Group, Monash University, Clayton. I graduated from the University of Glasgow in 2022 with an MSci in Computing Science (First Class Honours).

Research interests

Graph Drawing
Readability Metrics
Graph Mining
Data Visualisation
Visual Perception
Network Visualisation

Projects

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GEG Encodes Graphs

A JSON-based storage format for graph drawings with complex edge geometries, using SVG path commands.

The GD-collection-v1

4,890 graph drawings extracted from 27 proceedings (1998–2024) of the Graph Drawing & Network Visualization conference.

Recent publications

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Stress in Graph Drawings: Perception, Preference, and Performance

G. J. Mooney, J. Miller, M. Wybrow, S. Kobourov, and H. C. Purchase

33rd International Symposium on Graph Drawing and Network Visualization (GD 2025), pp. 38:1–38:23

doi:10.4230/LIPIcs.GD.2025.38
Universal Quality Metrics for Graph Drawings: Which Graphs Excite Us Most?

G. J. Mooney, T. Hegemann, A. Wolff, M. Wybrow, and H. C. Purchase

33rd International Symposium on Graph Drawing and Network Visualization (GD 2025), pp. 30:1–30:20

doi:10.4230/LIPIcs.GD.2025.30
Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings

L. Joos, G. J. Mooney, M. T. Fischer, D. A. Keim, F. Schreiber, H. C. Purchase, and K. Klein

33rd International Symposium on Graph Drawing and Network Visualization (GD 2025), pp. 37:1–37:19

doi:10.4230/LIPIcs.GD.2025.37

Awards

Best Paper Award — 17th Pacific Visualisation Symposium (PacificVis), 2024

Contact

Email: Gavin.Mooney@monash.edu
ORCID: 0009-0001-6208-4268
GitHub: github.com/gavjmooney
LinkedIn: linkedin.com/in/gavjmooney