py-tgx 0.4.0

Temporal Graph Visualization with TGX

Temporal Graph Analysis with TGX

This repository contains the code for the paper "Temporal Graph Analysis with TGX" (WSDM 2024, Demo Track).

TGX overview:

• TGX supports all datasets from TGB and Poursafaei et al. 2022 as well as any custom dataset in .csv format.
• TGX provides numerous temporal graph visualization plots and statistics out of the box.

Dependecies

TGX implementation works with python >= 3.9 and can be installed as follows.

1. Set up virtual environment (conda should work as well).

   python -m venv tgx_env/
   source tgx_env/bin/activate
   

2. Upgrade pip (Optional)

   pip install --upgrade pip
   

3. Install external packages

   pip install -r requirements.txt
   

4. Install local dependencies under root directory /TGX.

   pip install -e .
   

5. [Aternative] Install TGX from PyPi:

   pip install py-tgx
   

6. [optional] Install mkdocs dependencies to serve the documentation locally.

   pip install mkdocs-glightbox
   

For tutorials on how to use TGX to generate visualizations and compute statistics for temporal graphs, see docs/tutorials/data_viz_stats.ipynb

Citation

If TGX is useful for your work, please consider citing it:

@article{shirzadkhani2024temporal,
  title={Temporal Graph Analysis with TGX},
  author={Shirzadkhani, Razieh and Huang, Shenyang and Kooshafar, Elahe and Rabbany, Reihaneh and Poursafaei, Farimah},
  journal={arXiv preprint arXiv:2402.03651},
  year={2024}
}