Effect of the number of epochs

[Keramatfar]

Graph Convolution network models each node as an aggregation of the target node and its direct neighbors. By stacking more GCN layers we can access to further neighbors. I want to know, does training the model with some epochs on a one layer GCN has the effect similar to adding the second layer? or, Does second epoch of training means that the second neighbors' representations are affecting the target node representation?