node2vec: Scalable Feature Learning for Networks
ture learning in networks. Classic approaches based on linear and non-linear dimensionality reduction techniques such as Principal Component Analysis, Multi-Dimensional Scaling and their exten-sions [3, 27, 30, 35] optimize an objective that transforms a repre-sentative data matrix of the network such that it maximizes the vari-
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