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docs/src/index.md
@@ -9,7 +9,6 @@ Among its features:
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* Implements common graph convolutional layers.
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* Supports computations on batched graphs.
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* Easy to define custom layers.
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-* Integration with the JuliaGraphs ecosystem.
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* CUDA support.
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* Integration with [Graph.jl](https://github.com/JuliaGraphs/Graphs.jl).
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* [Examples](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks.
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