Package: node2vec 0.1.0

node2vec: 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 <arxiv:1607.00653>.

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

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node2vec.pdf |node2vec.html✨
node2vec/json (API)

# Install 'node2vec' in R:
install.packages('node2vec', repos = c('https://tianyang-0523.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • gene_edges - 6 edges information between two genes of human

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 4 scripts 223 downloads 104 mentions 1 exports 34 dependencies

Last updated 4 years agofrom:a3586cb1fd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:node2vecR

Dependencies:cliclustercpp11data.tabledplyrfansigenericsglueigraphjsonlitelatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepillarpkgconfigR6RcppRcppProgressrlangrlisttibbletidyselectutf8vctrsveganwithrword2vecXMLyaml