Kent State University received a $101,020 project grant from the National Science Foundation's Computer and Information Science and Engineering program to develop an efficient and scalable system for probabilistic graph learning, representation, aggregation, and analysis. The grant will support the design and implementation of formal probabilistic graph definitions, abstractions for graph manipulation, and a provable compiling process to enable distributed execution with quality guarantees. Outcomes will include open-source software, publications, and tutorials. The system aims to serve as a general-purpose probabilistic graph analysis tool that can benefit multiple research domains in discovering and understanding complex correlations among real-world entities. The one-year project runs from October 1, 2022 to September 30, 2023.