In particular, N (v) returns the nodes that v directs to and N (v) returns the nodes that direct to v; (3) We aggregate the forward representations of , where k∈{1, ..., K} is the iteration index.
this aggregator feeds each neighbor's vector to a fully-connected neural network and applies an element-wise max-pooling operation to capture different aspects of the neighbor set.