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where `N` is the number of nodes in the graph, `LSTM` is a Long-Short-Term-Memory network with `n_layers` layers, input size `2*n_in` and output size `n_in`.
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Given a batch of graphs `g` and node features `x`, the layer returns a matrix of size `(2*n_in, n_graphs)`.
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