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The international journal Computer Graphics Forum (CGF) is jointly published by the Eurographics Association and Wiley (former Blackwell). CGF is a leading journal for in-depth technical articles on computer graphics.

  • Semantic Hierarchical Exploration of Large Image Datasets 

    Bäuerle, Alex; Onzenoodt, Christian van; Jönsson, Daniel; Ropinski, Timo (The Eurographics Association, 2023)
    We present a method for exploring and comparing large sets of images with metadata using a hierarchical interaction approach. Browsing many images at the same time requires either a large screen space or an abundance of ...
  • MoneyVis: Open Bank Transaction Data for Visualization and Beyond 

    Firat, Elif E.; Vytla, Dharmateja; Singh, Navya Vasudeva; Jiang, Zhuoqun; Laramee, Robert S. (The Eurographics Association, 2023)
    With the rapid evolution of financial technology (FinTech) the importance of analyzing financial transactions is growing in importance. As the prevalence and number of financial transactions grow, so does the necessity of ...
  • Visualizing Element Interactions in Dynamic Overlapping Sets 

    Agarwal, Shivam (The Eurographics Association, 2023)
    Elements-the members in sets-may change their memberships over time. Moreover, elements also directly interact with each other, indicating an explicit connection between them. Visualizing both together becomes challenging. ...
  • CatNetVis: Semantic Visual Exploration of Categorical High-Dimensional Data with Force-Directed Graph Layouts 

    Thane, Michael; Blum, Kai M.; Lehmann, Dirk J. (The Eurographics Association, 2023)
    We introduce CatNetVis, a novel method of representing semantical relations in categorical high-dimensional data. Traditional methods provide insights into many aspects of visual exploration of data. However, most of them ...
  • Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT's Potential to Apply Graph Layout Algorithms 

    Bartolomeo, Sara Di; Severi, Giorgio; Schetinger, Victor; Dunne, Cody (The Eurographics Association, 2023)
    Large language models (LLMs) have recently taken the world by storm. They can generate coherent text, hold meaningful conversations, and be taught concepts and basic sets of instructions-such as the steps of an algorithm. ...

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