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 .


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Reference manual

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install.packages("node2vec")

0.1.0 by Yang Tian, 9 months ago


Browse source code at https://github.com/cran/node2vec


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