Since the GCN layer retains important structural information and is sensitive to positional data from the syntax tree, we consider it as a position-based approach.
in this paper, we introduced the application of GCN and attention mechanism to identification of verbal MWEs and finally proposed and tested a hybrid approach integrating both models.