Vector space models, representing word meanings as points in high-dimensional space, have been used in a variety of semantic relatedness tasks (Sahlgren, 2006; <cite>Padó and Lapata, 2007)</cite> . We study the relationship between vector space models and graph random walk models by embedding vector space models in graphs.