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 doi:10.48550/arXiv.1607.00653.
- Version0.1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release01/14/2021
Team
Yang Tian
Xu Li
Show author detailsRolesAuthorJing Ren
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- Imports7 packages