Hypergraph-Vis

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Code repository for "Hypergraph Visualization via a Metric Space Viewpoint and Persistence"

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# Topological Simplifications of Hypergraphs

## Overview
This is the code repository for "Topological Simplifications of Hypergraphs"

![Screenshot of demo](https://raw.githubusercontent.com/tdavislab/Hypergraph-Vis/master/app/static/assets/interface-new.png)

Our system runs on most modern web browsers. We tested it on Firefox and Chrome.

## Running Locally
Download or clone this repository:

```bash
git clone https://github.com/architrathore/Hypergraph-Vis.git
```

Then, run:

```bash
cd Hypergraph-Vis
python3 run.py
#Hit Ctrl+c to quit
```

You can view the page at http://0.0.0.0:6060/ (If possible, please use Chrome).

If `python3 run.py` does not work, please try `python -m flask run`.

## Requirements
This software requires [HyperNetX(>=0.2.5)](https://pnnl.github.io/HyperNetX/build/index.html), [NetworkX](https://networkx.github.io/), and [Flask](https://flask.palletsprojects.com/en/1.1.x/) to run.

If you do not have these packages installed, please use the following command to intall them.

```bash
pip install hypernetx
pip install networkx
pip install flask
pip install flask_assets
```

## Importing A Hypergraph

The input data format can be CSV or TXT.

Each line of the input file should be:

```bash
hyperedge_i, vertex_i1, vertex_i2, ...
```

## Exporting An Output
*(This functionality is currently available for the locally installed version, but not for the live demo.)*

To export a simplified hypergraph, input the file name and click on the button "Export An Output".

You can find the output file in the folder `⁨Hypergraph-Vis⁩/⁨app⁩/⁨static/downloads/`.

## Cite
Topological Simplifications of Hypergraphs.
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang.\
*IEEE Transactions on Visualization and Computer Graphics (TVCG)*, 2022. \
DOI: [10.1109/TVCG.2022.3153895](https://ieeexplore.ieee.org/document/9721603) (early access) \
[arXiv:2104.11214](https://arxiv.org/abs/2104.11214)

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