Learning Structural Node Representations using Graph Kernels

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 information about nodes has rec... View More