DeepWalk

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 statistical models. DeepWalk generalizes recent advancements in language modeling and unsupervised feature learning (or deep learning) from sequences of words to graphs.

• G
  Google
• DO
  Division of Information and Intelligent Systems

  Award: DBI-1060572 and IIS-1017181
• DO
  Division of Biological Infrastructure

  Award: DBI-1060572 and IIS-1017181