Publication Date

Fall 2024

Degree Type

Master's Project

Degree Name

Master of Science in Computer Science (MSCS)

Department

Computer Science

First Advisor

Leonard Wesley

Second Advisor

William Andreopoulos

Third Advisor

Gokul Chowdary Garikipati

Keywords

Belief Function, Evidential Reasoning Models, Graph, Nodes

Abstract

Systems like Capri are used for large-scale graph modeling and integration and PyGrapher aims to do that in a simplified manner. This project is an extension of PyGrapher which was a tool created by previous students at the university. The enhancements include adding customizable default parameters for nodes and edges, automating JSON conversion, and enabling real-time highlighting. These features specifically aim to improve usability, streamline workflows, and provide interactive feedback for the users. The enhancement of the project also added additional and rigorous testing of the platform's compatibility and user interaction. It demonstrates significant improvements in functionality and user experience. While these advancements definitely improved the versatility of as a tool for graph modeling, there is still room for future enhancements.

Available for download on Wednesday, December 31, 2025

Share

COinS