Graph or network theory and its visualization mathematically structure, model, and visualize pairwise relations between objects and their attributes. Graphs or networks and their visualization have been used in a wide range of applications, such as website maps, evolutionary trees, phylogenetic trees, molecular trees, genetic maps, data flow diagrams, subroutine-call graphs, entity relationship diagrams, semantic networks, knowledge-representation diagrams, and many more. This focused symposium provides a premier international forum for researchers and industrial practitioners to exchange state-of-the-art ideas in theories, designs, evaluations, and applications in graph theory and network visualization.

GTNV is soliciting high-quality paper contributions. The publication will be at Conference Publishing Services, Computer Society, and the Information Visualisation conference. An extended version of the best papers of GTNV2025 will be invited to be published in the Information Visualization Journal (https://journals.sagepub.com/home/ivi) in a special issue. Suggested topics include, but are not limited to:

AI in Graph Theory & Network Visualisation
dedicated session explaining how AI contributes to graph drawing, optimization, and network visualization, such as:
 _Machine learning for predicting graph layouts.
 _AI algorithms for clustering or detecting communities in networks.
 _Applications in visual analytics and automated insights.
Use case studies to illustrate real-world AI applications.
Graph drawing algorithms, visualization methods, and graph interaction
Applications and tools for effective visualization of graphs and networks
Graph and network theory and their applications
Evaluation of graph and network visualization and interaction.
Human perception and cognition in graph and network visualization
Benchmark tools for studies of network visualization systems, user interfaces, and graph theory
Visual Analytics with graphs and networks