Editing Graph Visualizations by Prompting Large Language Models

Today's Large Language Models (LLM) provide the possibility of translating user requests given in natural language into executable code. Based on this, we present an approach for interactively modifying graph visualizations. We explain how to prompt such LLMs and how to tackle technical restrictions as limitations of the LLMs on input sizes.