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 . 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: 2026-06-23 05:54:34 UTC; root Author: Yang Tian [aut, cre], Xu Li [aut], Jing Ren [aut] Maintainer: Yang Tian Config/pak/sysreqs: libglpk-dev libxml2-dev Repository: https://tianyang-0523.r-universe.dev Date/Publication: 2021-01-14 08:00:02 UTC RemoteUrl: https://github.com/cran/node2vec RemoteRef: HEAD RemoteSha: a3586cb1fd6e66ab490cf446dcef7105f42e4981