会議情報

GD 2026: International Symposium on Graph Drawing and Network Visualization

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GD
投稿締切日:
2026-05-06
通知日:
2026-06-24
開催日:
2026-08-17
開催地:
St. Catharines, Ontario, Canada
開催回数:
ICORE: A   閲覧: 13972   フォロー: 0   参加: 0

論文募集

GD 2026 (International Symposium on Graph Drawing and Network Visualization) is a ICORE A conference held in St. Catharines, Ontario, Canada on 2026-08-17. The paper submission deadline is 2026-05-06. Acceptance notifications are sent on 2026-06-24.

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 for which it is crucial to visually analyze and interact with relational datasets. Application areas include data science, social sciences, web computing, information systems, life sciences, geography, business intelligence, information security, and software engineering. Graph Drawing has been the main annual conference in this area for more than 30 years. Its focus is on combinatorial and algorithmic aspects of graph drawing, their experimental evaluation, as well as the design of network visualization systems and interfaces. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to contribute papers and posters and to participate in the symposium as well as the graph drawing contest. GD 2026 will be held at Brock University in St. Catharines, Canada, from August 17-21, 2026. A PhD school will take place August 17-18, 2026, followed by a reception on the evening of August 18. GD 2026 is designed to be held on-site. It is expected that regular papers are presented on site by one of the authors. To address global challenges and as an offer for authors who are unable to attend, we allow for a limited number of remote presentations, as further explained below. The code of conduct for the GD conference can be found at http://graphdrawing.org/safetoc.html Tracks We invite authors to submit work describing original research of theoretical or practical significance to graph drawing and network visualization. To promote a balanced coverage of the field, GD has two distinct tracks, and contributions submitted to one track will not compete with contributions submitted to the other track. Track 1: Combinatorial and algorithmic aspectsPermalink This track is mainly devoted to fundamental theoretical graph drawing advances, such as combinatorial and algorithmic aspects. We aim at covering a diverse set of topics, which for this track includes (but is not limited to): Design and analysis of graph drawing algorithms Geometric and topological graph theory Computational topology of graphs on surfaces Graph representations Geometric advances and computing in graph drawing Combinatorics and optimization in graph drawing Track 2: Experimental, applied, and network visualization aspectsPermalink This track is mainly devoted to conceptual and applied aspects of network visualization in the scope of graph drawing, such as experimental evaluations of graph drawing and network visualization related algorithms, the development and/or evaluation of related libraries and tools, or systems and interfaces in different application areas. We aim at covering a diverse set of topics, which for this track includes (but is not limited to): Engineering of graph drawing algorithms and network visualization approaches Interfaces, methods, and high-quality tools for interacting with graphs and networks Benchmarks and experimental studies in the context of graph drawing and network visualization Cognitive studies on network visualization aesthetics and user interaction Visualization of networks in real-world applications Machine learning methods in graph drawing and network visualization Graph drawing & network visualization for AI explainability and trustworthiness
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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor NetworksAIRCC0975-7260
Visualization in EngineeringSpringer2213-7459
Computing and Visualization in ScienceSpringer1432-9360
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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