DeepWalk

作者：Bryan Perozzi, Rami Al-Rfou, Steven Skiena · 年份：2014 · DOI：10.1145/2623330.2623732 · 被引用次数：8703 · 研究领域：Topic Modeling、Advanced Graph Neural Networks、Natural Language Processing Techniques

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.