Graph representation learning using node2vec on a toy biological data

A network or a graph is a representation to show the relationship between objects in a 2 dimensional or multidimensional space. The objects are called nodes and the relationship between the nodes are the edges in a graph. Two prominent examples of a graphical representation are a social network of individuals or a protein-protein interaction network. The graphical representation allows humans and computers to understand the underlying data more efficiently and adopt various algorithms for solving real-life problems. Learning a good representation of the graph data is called graph representation learning or network embedding.