Fig 4. The framework of the Node2Vec model.

Based on a certain sampling strategy, many random walks can be generated on the graph. Treating the nodes as “words” and the random walks as “sentences,” the embeddings of the nodes can be learned by feeding these “sentences” into the Word2Vec model.