Random walk has been recognized as a fundamental tool to analyze the graphs. Many graph mining algorithms, such as Personalized PageRank, DeepWalk and Node2Vec have been widely used in various real-world applications.
However, existing distributed graph processing frameworks are not optimized for random walks.
In this project, we propose a fast distributed graph random walk engine on GPUs.`