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Recent methods for learning vector space representations of words have succeeded in capturing fine-grained semantic and syntactic regularities using vector arith-metic, but the origin of these regularities has remained o...

We present DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector space, which is easily exploited by statisti...

Materias / palabras clave: graph algorithms, graph databases, graph representation learning, knowledge graphs, knowledge representation, linked data; Science: Mathematics: Instruments and machines: Electronic computers. Computer science