Learning Structural Node Representations Using Graph Kernels
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DOI: 10.1109/tkde.2019.2947478
Abstract: Many applications require identifying nodes that perform similar functions in a graph. For instance, identifying structurally equivalent nodes can provide insight into the structure of complex networks. Learning latent representations that capture such structural role… read more here.
Keywords: node representations; structural node; learning structural; using graph ... See more keywords