https://github.com/gtsitsik/multi-graph-explorer
A framework for advanced multi-graph analysis and method development
https://github.com/gtsitsik/multi-graph-explorer
graph-algorithms matlab matlab-gui multi-graph multi-view-clustering multilayer-networks multiplex-networks spectral-clustering tensor-decomposition visualization
Last synced: 3 months ago
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A framework for advanced multi-graph analysis and method development
- Host: GitHub
- URL: https://github.com/gtsitsik/multi-graph-explorer
- Owner: gtsitsik
- License: apache-2.0
- Created: 2024-08-04T00:55:46.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2025-01-31T11:32:43.000Z (5 months ago)
- Last Synced: 2025-02-05T23:53:31.647Z (5 months ago)
- Topics: graph-algorithms, matlab, matlab-gui, multi-graph, multi-view-clustering, multilayer-networks, multiplex-networks, spectral-clustering, tensor-decomposition, visualization
- Language: MATLAB
- Homepage:
- Size: 650 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://opensource.org/licenses/Apache-2.0)
# Multi-Graph Explorer
### A Framework for Advanced Multi-Graph Analysis and Method Development
## Overview
Multi-Graph Explorer is a MATLAB software that aims to enable researchers to
streamline all stages of multi-graph method development, while also providing
practitioners with a unified toolkit for efficiently discovering structure in
real-world multi-graphs.
This project is associated with the following demo paper:
|Yorgos Tsitsikas and Evangelos E. Papalexakis. Multi-graph explorer: A framework for advanced multi-graph analysis and method development. In _Proceedings of the 33nd ACM International Conference on Information and Knowledge Management_, October 2024|
| :--- |
Also, the published manuscript can be accessed here: https://dl.acm.org/doi/10.1145/3627673.3679213
BibTeX users can cite this work as follows:
```bibtex
@inproceedings{multi-graph-explorer,
title={Multi-Graph Explorer: A framework for Advanced Multi-Graph Analysis and Method Development},
author={Tsitsikas, Yorgos and Papalexakis, Evangelos E.},
booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},
year={2024},
month={October},
doi={10.1145/3627673.3679213},
isbn={979-8-4007-0436-9/24/10}
}
```
### Features
- **Artificial multi-graph generator**: Generate artificial multi-graphs in a succinct yet flexible and
comprehensive manner.
- **Efficient non-standard parameter sweeps**: Define value ranges for
arbitrary combinations of all parameters and their subparameters for a thorough
and systematic study of the multi-graph analysis workflow.
- **Interactive graphical user interface**: Adjust the parameters of the
experiments and explore their results efficiently and intuitively.
- **High-quality method implementations**: Experiment with optimized
implementations of existing multi-graph methods.
- **Customization and Extensibility**: Multi-Graph Explorer aims to maximize
the ability of the users to customize the environment and to augment it with
additional functionality.
https://github.com/user-attachments/assets/60a2409e-daf6-474a-97f7-f44a0e7fdd2a
## Dependencies
- [MATLAB](https://www.mathworks.com/products/matlab.html) - **Required** (Tested on MATLAB 2019b)
- [MATLAB Statistics and Machine Learning Toolbox](https://www.mathworks.com/products/statistics.html) - **Required**
- [MATLAB Image Processing Toolbox](https://www.mathworks.com/products/image-processing.html) - **Required**
- [scikit-learn](https://scikit-learn.org/stable/) - **Required** (Tested with Python 3.6 and scikit-learn 0.24.2)
- [MATLAB Parallel Computing Toolbox](https://www.mathworks.com/products/parallel-computing.html) - **Optional**
- [MTIMESX](https://www.mathworks.com/matlabcentral/fileexchange/25977-mtimesx-fast-matrix-multiply-with-multi-dimensional-support) - **Optional**
## Installation
- Make sure the current directory within MATLAB is the project's root directory at all times.
- For instructions on how to configure MATLAB to use Python see [here](https://www.mathworks.com/help/matlab/matlab_external/install-supported-python-implementation.html).
## Usage
- Run `single_run_GUI.m` to launch the Single-Combination Parameter Explorer.
- Run `param_sweep_explore_demo.m` to see an example of using the Multi-Combination Parameter Explorer.
- For further documentation, use MATLAB's `help` function (e.g. `help single_run_GUI.m`).
## License
[Apache License, Version 2.0](./LICENSE)