Node2vec explained graphically

#artificialintelligence 

Node2vec is an embedding method that transforms graphs (or networks) into numerical representations [1]. For example, given a social network where people (nodes) interact via relations (edges), node2vec generates numerical representation, i.e., a list of numbers, to represent each person. This representation preserves the structure of the original network in some sense so that people closely related have similar representations and vice versa. In this article, we'll go through the intuition of the node2vec method and, in particular, how second order random walk on graph works via a series of animations. A random walk on a graph can be thought of as a "walker" traversing the graph along the edges of the graph.

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