GDxDR: Bridging Graph Drawing and Dimensionality Reduction

Workshop description

Graph Drawing (GD) and Dimensionality Reduction (DR) share many methodological, theoretical, and practical challenges. Both aim to project complex, high-dimensional structures into interpretable low-dimensional representations, facing issues of scalability, ambiguity, and interpretability. Yet, despite these similarities, the two communities have evolved largely in parallel with limited exchange of ideas and evaluation practices.

This workshop seeks to bridge GD and DR by creating a space for discussion on how methods, concepts, and lessons from one domain can inspire advances in the other. Participants will explore common evaluation pitfalls, domain-expert usage scenarios, and reliability issues such as comparing real versus synthetic data. The workshop aims to build synergy between the two communities and produce outcomes such as a community statement on evaluation and a roadmap for future collaboration.

Important Dates

All deadlines are 23:59:59 Anywhere on Earth (GMT/UTC-12:00) 

Submission Deadline: February 15, 2026

Notification of Acceptance: March 31, 2026

Camera-ready Papers Due: April 15, 2026

Topics

Examples of relevant topics for the workshop are as follows: 

• Connections between graph drawing and dimensionality reduction

• Evaluation methodologies and interpretability

• Cross-domain metrics, quality criteria, and scalability

• Human-centered aspects of visualization (trust, stability, readability)

• Comparative and methodological studies

• Case studies and application scenarios combining GD and DR

Program

Half-day workshop (14:00–17:30):

• 14:00–14:15 — Welcoming and Introduction

• 14:15–15:15 — Invited Keynote: Bridging GD and DR (followed by Q&A)

• 15:15–16:15 — Paper Session: contributed short and position papers (5–10 minutes each with discussion)

• 16:15–16:30 — Coffee Break

• 16:30–17:15 — Group Activity: mapping synergies, challenges, and opportunities

• 17:15–17:30 — Closing Remarks
  
  

The program combines presentations, interactive discussions, and collaborative activities to identify synergies, methodological parallels, and future research opportunities across GD and DR.

Keynote Speaker

To be announced (TBA).

@Copyright 2026 Claudio D. G. Linhares