Algorithmic Framework for Representational Learning on Graphs

Given any graph, the 'node2vec' algorithm can learn continuous feature representations for the nodes, which can then be used for various downstream machine learning tasks.The techniques are detailed in the paper "node2vec: Scalable Feature Learning for Networks" by Aditya Grover, Jure Leskovec(2016),available at .


Reference manual

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0.1.0 by Yang Tian, 9 months ago

Browse source code at

Authors: Yang Tian [aut, cre] , Xu Li [aut] , Jing Ren [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports data.table, igraph, word2vec, rlist, dplyr, vctrs, vegan

See at CRAN