The field of data visualization is moving towards more intuitive and user-guided approaches, with a focus on improving the interpretability and accessibility of complex data. Researchers are exploring new methods for layout algorithms, semantic scaffolding, and visualization design rationales to enhance the understanding of relational data. Additionally, there is a growing interest in multimodal approaches, combining visual and textual information to construct more comprehensive and accurate visualizations. Noteworthy papers include: User-Guided Force-Directed Graph Layout, which enables intuitive control through freehand sketching. Semantic Scaffolding, which uses domain-specific information from large language models to identify and explain semantically meaningful data groupings. MM-AttacKG, a multimodal approach to attack graph construction that integrates visual information from threat images to enhance the comprehensiveness and accuracy of attack graphs.