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MIT License | ||
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Copyright (c) 2024 Carlo Lucibello <[email protected]> and contributors | ||
Copyright (c) 2021 Carlo Lucibello <[email protected]> and contributors | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
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MIT License | ||
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Copyright (c) 2021 Carlo Lucibello <[email protected]> and contributors | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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<img align="right" width="300px" src="https://raw.githubusercontent.com/CarloLucibello/GraphNeuralNetworks.jl/master/docs/src/assets/logo.svg"> | ||
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# GraphNeuralNetworks.jl | ||
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[![](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) | ||
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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). | ||
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Among its features: | ||
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* 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. | ||
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## Installation | ||
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GraphNeuralNetworks.jl is a registered Julia package. You can easily install it through the package manager: | ||
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```julia | ||
pkg> add GraphNeuralNetworks | ||
``` | ||
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## Usage | ||
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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. | ||
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## Citing | ||
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If you use GraphNeuralNetworks.jl in a scientific publication, we would appreciate the following reference: | ||
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``` | ||
@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} | ||
} | ||
``` | ||
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## Acknowledgments | ||
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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/). | ||
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