Package: node2vec
Title: Algorithmic Framework for Representational Learning on Graphs
Version: 0.1.0
Authors@R: 
    c(
      person(given = "Yang",
           family = "Tian",
           role = c("aut", "cre"),
           email = "tianyang1211@126.com"),
      person(given="Xu",
             family="Li",
             role="aut"),
      person(given="Jing",
             family="Ren",
             role="aut")
      )           
Description: 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 <arXiv:1607.00653>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: data.table, igraph, word2vec, rlist, dplyr, vctrs, vegan
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-12-27 15:31:28 UTC; Administrator
Author: Yang Tian [aut, cre],
  Xu Li [aut],
  Jing Ren [aut]
Maintainer: Yang Tian <tianyang1211@126.com>
Repository: CRAN
Date/Publication: 2021-01-14 09:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:16:46 UTC; unix
