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 <doi:10.48550/arXiv.1607.00653>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | data.table, igraph, word2vec, rlist, dplyr, vctrs, vegan |
| Published: | 2021-01-14 |
| DOI: | 10.32614/CRAN.package.node2vec |
| Author: | Yang Tian [aut, cre], Xu Li [aut], Jing Ren [aut] |
| Maintainer: | Yang Tian <tianyang1211 at 126.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | node2vec results |
| Reference manual: | node2vec.html , node2vec.pdf |
| Package source: | node2vec_0.1.0.tar.gz |
| Windows binaries: | r-devel: node2vec_0.1.0.zip, r-release: node2vec_0.1.0.zip, r-oldrel: node2vec_0.1.0.zip |
| macOS binaries: | r-release (arm64): node2vec_0.1.0.tgz, r-oldrel (arm64): node2vec_0.1.0.tgz, r-release (x86_64): node2vec_0.1.0.tgz, r-oldrel (x86_64): node2vec_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=node2vec to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.