Heterogeneous graph neural networks (HGNNs) have the powerful capability to embed rich structural and semantic information of a heterogeneous into node representations. Existing HGNNs inherit many mechanisms from (GNNs) designed for homogeneous graphs, especially attention mechanism multi-layer structure. These bring excessive complexity, but seldom work studies whether they are really effectiv...