hivegraph


Namehivegraph JSON
Version 0.0.2 PyPI version JSON
download
home_page
SummaryPython Framework based on PyG for working with Graph Neural Networks
upload_time2023-12-29 03:03:57
maintainer
docs_urlNone
author
requires_python>=3.8
license
keywords deep-learning pytorch geometric-deep-learning graph-neural-networks graph-convolutional-networks
VCS
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ![](https://github.com/SauravMaheshkar/hivegraph/blob/main/docs/media/Github_Banner.png?raw=true)

[![Documentation Status](https://readthedocs.org/projects/hivegraph/badge/?version=latest)](https://hivegraph.readthedocs.io/en/latest/?badge=latest) [![Build and Tests](https://github.com/SauravMaheshkar/hivegraph/actions/workflows/python.yml/badge.svg)](https://github.com/SauravMaheshkar/hivegraph/actions/workflows/python.yml) [![PyPi license](https://badgen.net/pypi/license/pip/)](https://pypi.org/project/hivegraph/) [![PyPi version](https://badgen.net/pypi/v/hivegraph/)](https://pypi.org/project/hivegraph/) [![DOI](https://zenodo.org/badge/724171091.svg)](https://zenodo.org/doi/10.5281/zenodo.10440489)


# HiveGraph
Python Framework based on PyG for working with Graph Neural Networks

Currently has implementations for :-

* Graph Isomorphism Networks (GIN)
* Graph Convolutional Networks (GCN)
* Residual Gated Graph Convolutional Networks (ResGatedGCN)

Example Training Script
```
python train.py --config=hivegraph/configs/classification/gin.py
```


            

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