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README.md

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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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* Easy to define custom graph convolutional layers.
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* Operation on batched graphs.
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* Easily define your custom graph convolutional layers.
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## Installation
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examples/graph_classification_tudataset.jl

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# An example of semi-supervised node classification
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# An example of graph classification
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using Flux
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using Flux: @functor, dropout, onecold, onehotbatch, getindex

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