https://github.com/zipengliu/corgie-ui
Tip revision: 8220e20948ff22167900c1c4c574517796f0d390 authored by Zipeng Liu on 03 February 2022, 09:34:30 UTC
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README.md
# Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to its Embedding
CorGIE is a visualization tool for graph neural networks. This repo hosts the frontend code of CorGIE, and [the other repo](https://github.com/zipengliu/corgie-preprocess-server) hosts the backend code.
## Demo
[http://corgie.site](http://corgie.site)
You can upload your own datasets [here](http://corgie.site/#/upload).
## Installation
You need [nodejs](https://nodejs.org/en/download/) (version>=14.0) and the package management tool (either [yarn](https://yarnpkg.com/) or [npm](https://www.npmjs.com/)) to run our code locally.
To install dependencies, run `yarn install` or `npm install` in the project root directory.
To start the application, run `yarn start` or `npm start`. You will be able to open the page with the URL `http://localhost:3000` on your browser.
Note: this would serve the data files locally from `public/data/` statically, so you would not be able to use the upload page. To upload your own dataset, you need to install the [backend](https://github.com/zipengliu/corgie-preprocess-server) or use our [demo website](http://corgie.site).
## Paper
Zipeng Liu, Yang Wang, Jürgen Bernard, Tamara Munzner. Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding. TVCG 2022.
[arxiv link](https://arxiv.org/abs/2106.12839)