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src/layers/basic.jl

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@@ -160,7 +160,7 @@ A graph neural network layer that
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for given input graph `g` and node features `x`,
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returns the dot product `x_i ⋅ xj` on each edge.
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# Usage
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# Examples
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```juliarepl
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julia> g = rand_graph(5, 6)

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