RDFTensor v1.3

Monthly downloads

by Abdelmoneim Desouki View Source

Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors)

Different Tensor Factorization techniques suitable for RDF Tensors. RDF Tensors are three-mode-tensors, binary tensors and usually very sparse. Currently implemented methods are 'RESCAL' Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel (2012) <doi:10.1145/2187836.2187874>, 'NMU' Daniel D. Lee and H. Sebastian Seung (1999) <doi:10.1038/44565>, 'ALS', Alternating Least Squares 'parCube' Papalexakis, Evangelos, C. Faloutsos, and N. Sidiropoulos (2012) <doi:10.1007/978-3-642-33460-3_39>, 'CP_APR' C. Chi and T. G. Kolda (2012) <doi:10.1137/110859063>. The code is mostly converted from MATLAB and Python implementations of these methods. The package also contains functions to get Boolean (Binary) transformation of the real-number-decompositions. These methods also are for general tensors, so with few modifications they can be applied for other types of tensor.

Functions in RDFTensor

Name	Description
default_parcube_options	parCube initialization parameters
CP_01	transformation of the real-number-CP-decompositions to Binary
getTensor	getting tensor from triples
CP_R01	inverse of real-number-CP-decompositions to Binary
cp_nmu	Compute nonnegative CP with multiplicative updates(NMU)
RDFTensor-package	RDFTensor
Tensor_error	RESCAL Tensor error
cp_als	Compute a CP decomposition using an alternating least-squares algorithm(als)
RescalReconstructBack	reconstruct a tensor from RESCAL factorization result
getTensor3m	getting tensor from triples
cp_apr	Compute nonnegative CP with alternating Poisson regression(CP_APR)
rescal_SO_Val	calaculate scores Subj,Predicate,Obj
serial_parCube	Serial 3-mode ParCube algorithm for memory resident tensors
spt_mttkrp	Matricized tensor times Khatri-Rao product for ktensor
tensor2mat	Reduce tensor to matrix
getTnsrijk	tensor frontal slices to indices
scRescal	Scalable RESCAL Factorization
rescal_Trp_Val	RESCAL scores of triples
inv_rescal_sf_prd_chnkgrp	Reconstruct predicate(s) via chunks and grouping
recon_1prd_topn_par	Reconstruct predicate top scores on very large graphs
rescal	RESCAL: Tensor Factorization.
tnsr2trp	sparse tensor to triples
rescal_01	transformation of the real-number-RESCAL-decompositions to Binary
umls_tnsr	RDF tensor of UMLS small graph
No Results!

Vignettes of RDFTensor

Name
RDFTensor-Demo.Rmd
No Results!

Last month downloads

Details

Type	Package
Date	2021-01-13
VignetteBuilder	knitr
License	GPL-3
NeedsCompilation	no
Packaged	2021-01-13 18:50:16 UTC; abdel
Repository	CRAN
Date/Publication	2021-01-14 00:00:02 UTC

depends	doParallel , foreach , Matrix , methods , parallel , pracma , R (>= 3.2.0)
suggests	knitr , markdown , pryr , rARPACK
Contributors	Abdelmoneim Desouki