Abstract: With the increase of graph size, it becomes difficult or even impossible to visualize graph structures clearly within the limited screen space. Consequently, it is crucial to design ...

This project leverages the power of Large Language Models (LLMs) to streamline the process of querying CSV files and generating graphical visualizations of data. At its core, the project utilizes LLMs ...

This project explores graph simplification through motif clustering, using Wasserstein distance to group structurally similar subgraphs (motifs). It enables users to interactively visualize large ...