https://github.com/JuliaGraphs/GraphNeuralNetworks.jl

Graph Neural Networks in Julia
https://github.com/JuliaGraphs/GraphNeuralNetworks.jl

deep-learning graph-neural-networks graphs julia machine-learning

Last synced: 2 months ago
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Graph Neural Networks in Julia

• Host: GitHub
• URL: https://github.com/JuliaGraphs/GraphNeuralNetworks.jl
• Owner: JuliaGraphs
• License: mit
• Created: 2021-08-30T05:35:59.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-11-03T12:19:33.000Z (3 months ago)
• Last Synced: 2024-11-03T12:27:43.841Z (3 months ago)
• Topics: deep-learning, graph-neural-networks, graphs, julia, machine-learning
• Language: Julia
• Homepage: https://carlolucibello.github.io/GraphNeuralNetworks.jl/dev/
• Size: 42.7 MB
• Stars: 226
• Watchers: 7
• Forks: 45
• Open Issues: 61
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-sciml - CarloLucibello/GraphNeuralNetworks.jl: Graph Neural Networks in Julia

README

        


# GraphNeuralNetworks.jl

[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://CarloLucibello.github.io/GraphNeuralNetworks.jl/stable)

[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://CarloLucibello.github.io/GraphNeuralNetworks.jl/dev)

![](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/actions/workflows/ci.yml/badge.svg)

[![codecov](https://codecov.io/gh/CarloLucibello/GraphNeuralNetworks.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/CarloLucibello/GraphNeuralNetworks.jl)

GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework [Flux.jl](https://github.com/FluxML/Flux.jl).

Among its features:

* Implements common graph convolutional layers.

* Supports computations on batched graphs. 

* Easy to define custom layers.

* CUDA support.

* Integration with [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl).

* [Examples](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks. 

* Heterogeneous and temporal graphs. 

## Installation

GraphNeuralNetworks.jl is a registered Julia package. You can easily install it through the package manager:

```julia

pkg> add GraphNeuralNetworks

```

## Usage

Usage examples can be found in the [examples](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) and in the [notebooks](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/notebooks) folder. Also, make sure to read the [documentation](https://CarloLucibello.github.io/GraphNeuralNetworks.jl/dev) for a comprehensive introduction to the library.

## Citing

If you use GraphNeuralNetworks.jl in a scientific publication, we would appreciate the following reference:

```

@misc{Lucibello2021GNN,

  author       = {Carlo Lucibello and other contributors},

  title        = {GraphNeuralNetworks.jl: a geometric deep learning library for the Julia programming language},

  year         = 2021,

  url          = {https://github.com/CarloLucibello/GraphNeuralNetworks.jl}

}

```

## Acknowledgments

GraphNeuralNetworks.jl is largely inspired by [PyTorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/), [Deep Graph Library](https://docs.dgl.ai/),

and [GeometricFlux.jl](https://fluxml.ai/GeometricFlux.jl/stable/).