For the AMR graph we have four types of edges while for dependency trees we have six as mentioned in Section 3.2.
considering different type of edges, we modify the convolution computation as: where dir (u, v) selects the weight matrix and bias term associated with the edge type t. For example, in the AMR generation task, there are four edge types: default, reverse, self, and global.