Graph Convolution Networks (Kipf and Welling, 2016;Schlichtkrull et al., 2017) and Graph attention networks (Veličković et al., 2017) also learn neighborhood based representations of nodes.
they do not learn a query-dependent composition of the neighborhood which is sub-optimal as also seen our in experiments and noted previously (Dettmers et al., 2017).