Representation Learning on Graphs: Methods and Applications

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number of common friends. Or in the case of node classification, one might want to include information about the global position of a node in the graph or the structure of the node’s local graph neighborhood (Figure 1), and there is no straightforward way to encode this information into a feature vector.

  Information, Learning, Representation, Graph, Representation learning