aPPR-package: aPPR: Approximate Personalized PageRank
In RoheLab/aPPR: Approximate Personalized PageRank
aPPR-package R Documentation
aPPR: Approximate Personalized PageRank
Description
Calculates approximate and regularized personalized PageRank vectors for massive graphs, including those that can only be queried via an API. Regularization allows discovery of community structure under some stochastic block models.
Author(s)
Maintainer: Alex Hayes alexpghayes@gmail.com (ORCID) [copyright holder]
Authors:
Fan Chen fan.chen@wisc.edu (ORCID)
Karl Rohe
See Also
Useful links:
RoheLab/aPPR documentation built on July 1, 2024, 1:57 p.m.
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| aPPR-package | R Documentation |
aPPR: Approximate Personalized PageRank
Description
Calculates approximate and regularized personalized PageRank vectors for massive graphs, including those that can only be queried via an API. Regularization allows discovery of community structure under some stochastic block models.
Author(s)
Maintainer: Alex Hayes alexpghayes@gmail.com (ORCID) [copyright holder]
Authors:
Fan Chen fan.chen@wisc.edu (ORCID)
Karl Rohe
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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