Add TemporalSnapshotsGNNgraph classification tutorial
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docs/tutorials/introductory_tutorials/temporal_graph_classification_pluto.jl
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docs/tutorials/introductory_tutorials/temporal_graph_classification_pluto.jl
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| opt = Flux.setup(Adam(1.0f-3), model) | ||
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| train_loader, test_loader = data_loader(graphs) # it takes a while to load the data |
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why takes a lot? can we make the preprocessing faster?
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I was wrong is not this passage, but is when you download the dataset from MLDataset, maybe there is room for improvement.
docs/tutorials/introductory_tutorials/temporal_graph_classification_pluto.jl
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| ## Import | ||
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| We start by importing the necessary libraries. We use `GraphNeuralNetworks.jl`, `Flux.jl` and `MLDatasets.jl`, among others. | ||
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I followed the style of the other tutorial where they first introduced the tutorial and then started importing and adding code cells.
docs/tutorials/introductory_tutorials/temporal_graph_classification_pluto.jl
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Super nice tutorial! made a few comments |
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As mentioned in PR #397.
I created the gif with Makie.jl