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![](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/actions/workflows/ci.yml/badge.svg)
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[![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* is a graph neural network library for Julia based on the [Flux.jl](https://github.com/FluxML/Flux.jl) deep learning framework.
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Some of its noticeable features are the following:
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* Based on the Flux deep learning framework.
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* CUDA support.
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* Integrated with the JuliaGraphs ecosystem.
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* Supports generic graph neural network architectures.
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* Operation on batched graphs.
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* Easily define your custom graph convolutional layers.
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A graph neural network library for Julia based on the deep learning framework [Flux.jl](https://github.com/FluxML/Flux.jl).
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Most relevant features are:
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* Provides CUDA support.
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* It's integrated with the JuliaGraphs ecosystem.
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* Implements many common graph convolutional layers.
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* Performs fast operations on batched graphs.
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* It's easy to define custom graph convolutional layers.
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## Installation
2017

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