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Here we will keep track of compatibility with Enzyme for taking gradients.
First think is to collect a few examples to run.
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Running the following script
```
using Flux
using GraphNeuralNetworks
n = m = d = N = 10
g = Flux.batch([rand_graph(n, m, ndata=rand(d, n)) for i in 1:N])
getgraph(g, 1)
getgraph(g |> gpu, …
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The type `GNNGraph` from [GraphNeuralNetworks.jl](https://github.com/CarloLucibello/GraphNeuralNetworks.jl) is a `Graphs.AbstractGraphs` and implements the corresponding interface, therefore it would …
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Hello, many thanks for a great package.
My task can be summarised as graph classification, where (i) multiple graphs are associated with a common label, and where (ii) all graphs have the same str…
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Such as datasets, utils.py, etc.
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I ran into a use case for the batch function to operate on generators. I noticed that the batch function is not all that compatible with generators since it doesn't utilize the collect function for th…
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你好,我看到build_graph中定义了word_vector_map之后,并没有对他内容进行更新,这个py文件中的后续代码又用到了word_vector_map,请问是怎么回事啊?
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Currently we pass many configs explicitly through the various models, into molecule_graph_model, and onto GraphNeuralNetwork. Probably this could be simplified with kwargs.
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See https://timholy.github.io/SnoopCompile.jl/stable/snoopr/
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Hello,
I am a novice at using ML techniques like this, so forgive me for the simplistic question. I have been trying to apply the parameters given in your jupyter notebooks to my system and coming …