We use a state-of-the-art network representation learning algorithm to learn representations of nodes in a social network.
we use Node2Vec (Grover and Leskovec, 2016), which learns a d-dimensional representation of each source given the hyperlink structure graph G. Node2Vec seeks to maximize the log likelihood of observing the neighborhood of a node N (u), given the node u.