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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
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