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GraphNeuralNetworks/docs/make.jl

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deploydocs(;;repo = "github.com/JuliaGraphs/GraphNeuralNetworks.jl.git",
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deploydocs(;repo = "github.com/JuliaGraphs/GraphNeuralNetworks.jl.git",
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devbranch = "test-multidocs",
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push_preview = true,
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dirname= "GraphNeuralNetworks")

GraphNeuralNetworks/docs/src/datasets.md

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GraphNeuralNetworks.jl doesn't come with its own datasets, but leverages those available in the Julia (and non-Julia) ecosystem. In particular, the [examples in the GraphNeuralNetworks.jl repository](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) make use of the [MLDatasets.jl](https://github.com/JuliaML/MLDatasets.jl) package. There you will find common graph datasets such as Cora, PubMed, Citeseer, TUDataset and [many others](https://juliaml.github.io/MLDatasets.jl/dev/datasets/graphs/).
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GraphNeuralNetworks.jl provides the [`GNNGraphs.mldataset2gnngraph`](@ref) method for interfacing with MLDatasets.jl.
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```@docs
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GNNGraphs.mldataset2gnngraph
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```
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GraphNeuralNetworks.jl provides the [`GNNGraphs.mldataset2gnngraph`](@ref) method for interfacing with MLDatasets.jl.

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