| title | author | tags | |||
|---|---|---|---|---|---|
goethe-thesis-tamji |
T.I. |
|
The content of this repository is part of my thesis submission (computer science degree). Link to GitHub
Each sub-directory in root of this repository can be treated as an own project (e.g. for VSCode). All these projects together contribute to the key findings in my thesis. Each sub-directory contains an own README.md that provides specific information.
Note: Some empty dataset directories are not pushed to GitHub (file size restrictions). It is expected to manually add desired datasets into an own datasets subfolder.
This is the main project which contains a new variant of the initial UniPart implementation. It is now possible to pass parameters from the command line interface. The code was only tested on Ubuntu 24.04 LTS.
This sub-directory contains another Stream Graph Partitioning algorithm. It is compared with UniPart in my thesis.
This code is also optimized for compatibility with Linux (e.g. file paths). It is possible to generate RDF graphs with it.
This sub-directory contains CSV files and Python scripts for generating plots. In addition to Pandas, also Matplotlib and NumPy are required.
T.I., 2024