G is a nonlinear mapping function to reduce dimensionality.
we use a 1-layer feed-forward neural network with the ReLU activation function with a shortcut connection, i.e., concatenate the hidden states after ReLU with the input n j=1 α ij r ij (or m i=1 β ij r ji ) as the output a m i (or b m j ).