Thesis.pdf: This is the final paper for which this project was made. It contains the theory behind the project, and the results gathered from the code. estimate_c.py: Contains the class estimate, ...

Magnetic graph matrices are powerful tools for modeling quantum systems and directed networks, but their application in network analysis has been limited by a lack of combinatorial understanding. We ...

"Graphs are the natural language of relationships. Every social network, every molecule, every knowledge base, and every computation graph in a neural network is a graph — and the mathematics of ...

Abstract: Most natural matrices that incorporate information about a graph are the adjacency and the Laplacian matrices. These algebraic representations govern the fundamental concepts and tools in ...

Abstract: In this paper, we explore some properties of identification matrices and exhibit some uses of identification matrices in studying the graph isomorphism problem, a famous open problem. We ...