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Copy file name to clipboardExpand all lines: GraphNeuralNetworks/docs/src/index.md
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@@ -22,7 +22,7 @@ Among its general features:
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* Easy to define custom layers.
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* CUDA support.
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* Integration with [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl).
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*[Examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks.
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*[Examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/GraphNeuralNetworks/examples) of node, edge, and graph level machine learning tasks.
Copy file name to clipboardExpand all lines: README.md
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* Easy to define custom layers.
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* CUDA support.
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* Integration with [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl).
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*[Examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks.
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*[Examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/GraphNeuralNetworks/examples) of node, edge, and graph level machine learning tasks.
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