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node2vec  

Algorithmic Framework for Representational Learning on Graphs
View on CRAN: Click here


Download and install node2vec package within the R console
Install from CRAN:
install.packages("node2vec")

Install from Github:
library("remotes")
install_github("cran/node2vec")

Install by package version:
library("remotes")
install_version("node2vec", "0.1.0")



Attach the package and use:
library("node2vec")
Maintained by
Yang Tian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-14
Latest Update: 2021-01-14
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 .
How to cite:
Yang Tian (2021). node2vec: Algorithmic Framework for Representational Learning on Graphs. R package version 0.1.0, https://cran.r-project.org/web/packages/node2vec. Accessed 22 Dec. 2024.
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Complete documentation for node2vec
Functions, R codes and Examples using the node2vec R package
Some associated functions: gene_edges . node2vec-package . node2vecR . 
Some associated R codes: data.R . node2vec-package.R . node2vecR.R .  Full node2vec package functions and examples
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