semvec/pypi-packages huggingface dataset:
gnnnas 0.0.2
Library to help write symbolic programs to generate expressive message passing neural networks.
License: MIT
Requires Python: >=3.10,<3.13

<h1 align="center">
  <br>
  <img src="https://github.com/akhilpandey95/gnnNAS/blob/main/images/gnnnas-logo.png?raw=true"  width="400" height="400" alt="gnnnas logo"/>
  <br>
</h1>

<h2 align="center">Library to write symbolic programs to generate expressive message passing neural networks</h2>

<h1 align="center"><a href="https://akhilpandey95.github.io/gnnNAS/">kgforge Documentation</h1>

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<p align="center">
  <a href="#what-is-it">What is it?</a> •
  <a href="#features">Features</a> •
  <a href="#installation">Installation</a> •
  <a href="#usage">Usage</a>  •
  <a href="#contributing">Contributing</a>
</p>

## What is it?
`kgforge` is a library which automates the generation of knowledge graphs from scholarly text.

## Features:
  - **TODO**: TODO: Description.

## Installation:

### Poetry

```bash
poetry add kgforge
```

### Pip

```bash
pip install kgforge
```

Setup your local environment:

Any necessary environment variables description:


```shell
export SAMPLE_ENV_VARIABLE=${VALUE}
```

## Usage

Now that `kgforge` is installed, you're ready to start using it!

It's time to point you to the official [Documentation Website](https://akhilpandey95.github.io/gnnNAS/) for more information on how to use `kgforge`


## Contributing
If you'd like to contribute, be sure to check out our [contributing guide](./CONTRIBUTING.md)! If you'd like to work on any outstanding items, check out the `roadmap` section in the docs and get started :smiley:

Thanks goes to these incredible people.

<a href="https://github.com/akhilpandey95/gnnNAS/graphs/contributors">
  <img style="border-radius: 50%" src="https://contrib.rocks/image?repo=akhilpandey95/gnnNAS" />
</a>
<a href="https://github.com/akhilpandey95/gnnNAS/graphs/contributors">
  <img style="border-radius: 50%" src="https://contrib.rocks/image?repo=harishsiravuri/kgforge" />
</a>