{"id":599,"date":"2017-11-15T23:04:38","date_gmt":"2017-11-15T23:04:38","guid":{"rendered":"http:\/\/iv.csites.fct.unl.pt\/fr\/?page_id=599"},"modified":"2026-03-27T15:16:57","modified_gmt":"2026-03-27T15:16:57","slug":"agt","status":"publish","type":"page","link":"https:\/\/iv.csites.fct.unl.pt\/uk\/symposia\/iv\/agt\/","title":{"rendered":"GTNV &#8211; Graph Theory &#038; Network Visualization"},"content":{"rendered":"<div class=\"content\">\n<p>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.<\/p>\n<p>GTNV is soliciting high-quality paper contributions. The publication will be at <a href=\"https:\/\/www.computer.org\/csdl\/proceedings\/1000370\"><span style=\"color: #3366ff;\">Conference Publishing Services, Computer Society<\/span><\/a>, 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 (<a href=\"https:\/\/journals.sagepub.com\/home\/ivi\"><span style=\"color: #3366ff;\">https:\/\/journals.sagepub.com\/home\/ivi<\/span><\/a>) in a special issue. Suggested topics include, but are not limited to:<\/p>\n<ul>\n<li>AI in Graph Theory &amp; Network Visualisation\n<ul>\n<li>dedicated session explaining how AI contributes to graph drawing, optimisation, and network visualisation, such as:<br \/>\n\uf0a7 _Machine learning for predicting graph layouts.<br \/>\n\uf0a7 _AI algorithms for clustering or detecting communities in networks.<br \/>\n\uf0a7 _Applications in visual analytics and automated insights.<\/li>\n<li>Use case studies to illustrate real-world AI applications.<\/li>\n<\/ul>\n<\/li>\n<li>Graph drawing algorithms, visualization methods, and graph interaction<\/li>\n<li>Applications and tools for effective visualization of graphs and networks<\/li>\n<li>Graph and network theory and their applications<\/li>\n<li>Evaluation of graph and network visualization and interaction.<\/li>\n<li>Human perception and cognition in graph and network visualization<\/li>\n<li>Benchmarking tools for studies of network visualization systems, user interfaces, and graph theory<\/li>\n<li>Visual Analytics with graphs and networks<\/li>\n<\/ul>\n<p><span style=\"font-size: revert; color: initial; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;\">Please check the submission <span style=\"color: #000000;\">procedures <\/span><span style=\"color: #3366ff;\"><span style=\"color: #000000;\">on<\/span> the <\/span><\/span><span style=\"color: #3366ff;\"><a style=\"font-size: revert; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif; color: #3366ff;\" href=\"http:\/\/iv.csites.fct.unl.pt\/uk\/call-for-papers\/important-dates\/\">submission page<\/a><span style=\"font-size: revert; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;\">.<\/span><\/span><\/p>\n<p style=\"padding-left: 40px;\"><strong>IMPORTANT DATES &#8211; GTNV<\/strong><br \/>\nSubmission of full papers: April 30, 2026<br \/>\nNotification of acceptance: June 1, 2026<br \/>\nCamera Ready: June 15, 2026<br \/>\nEarly registration to IV2026: Jun. 1, 2026<\/p>\n<p><strong>Supporting Bodies: <\/strong><\/p>\n<p style=\"padding-left: 40px;\"><a href=\"https:\/\/www.chpc.ac.za\"><span style=\"color: #3366ff;\">Council for Scientific and Industrial Research, Centre for High-Performance Computing, South Africa<\/span><\/a><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"color: #3366ff;\"><a style=\"color: #3366ff;\" href=\"https:\/\/ial.cdms.westernsydney.edu.au\/\">Integral Immersive Analytics Lab (iiAL), University of Western Sydney, Australia<\/a><\/span><\/p>\n<p>General inquiries and submissions should be addressed to the <span style=\"color: #3366ff;\"><a style=\"color: #3366ff;\" href=\"mailto:iv_CGiV@graphicslink.co.uk\">Conference Co-ordinator<\/a><\/span><\/p>\n<p>Symposium enquiries should be addressed to:<\/p>\n<p><strong>Dr Samuel Mabakane<\/strong><br \/>\nCouncil for Scientific and Industrial Research, Centre for High Performance Computing<br \/>\nEmail: smabakane (@) csir.co.za<br \/>\nweb: https:\/\/www.chpc.ac.za<\/p>\n<p><strong>Prof. Adrian Rusu\u00a0<\/strong><br \/>\nElectrical &amp; Computer Engineering and Computer Science Department, University of New Haven, USA<br \/>\narusu (@) newhaven.edu<\/p>\n<\/div>\n<p><!--more--><\/p>\n<p><!--more--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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&hellip;<\/p>\n<div class=\"read-more-wrap\"><a class=\"read-more\" href=\"https:\/\/iv.csites.fct.unl.pt\/uk\/symposia\/iv\/agt\/\">Read More<\/a><\/div>\n","protected":false},"author":3,"featured_media":0,"parent":296,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-599","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GTNV &#8211; Graph Theory &#038; Network Visualization - Information Visualisation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/iv.csites.fct.unl.pt\/uk\/symposia\/iv\/agt\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GTNV &#8211; Graph Theory &#038; Network Visualization - Information Visualisation\" \/>\n<meta property=\"og:description\" content=\"Graph or network theory and its visualization mathematically structure, model, and visualize pairwise relations between objects and their attributes. 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