RDFTensor-package |
Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors) |
CP_01 |
transformation of the real-number-CP-decompositions to Binary |
cp_als |
Compute a CP decomposition using an alternating least-squares algorithm(als) |
cp_apr |
Compute nonnegative CP with alternating Poisson regression(CP_APR) |
cp_nmu |
Compute nonnegative CP with multiplicative updates(NMU) |
CP_R01 |
inverse of real-number-CP-decompositions to Binary |
default_parcube_options |
parCube initialization parameters |
getTensor |
getting tensor from triples |
getTensor3m |
getting tensor from triples |
getTnsrijk |
tensor frontal slices to indices |
inv_rescal_sf_prd_chnkgrp |
Reconstruct predicate(s) via chunks and grouping |
RDFTensor |
Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors) |
recon_1prd_topn_par |
Reconstruct predicate top scores on very large graphs |
rescal |
RESCAL: Tensor Factorization. |
RescalReconstructBack |
reconstruct a tensor from RESCAL factorization result |
rescal_01 |
transformation of the real-number-RESCAL-decompositions to Binary |
rescal_SO_Val |
calaculate scores Subj,Predicate,Obj |
rescal_Trp_Val |
RESCAL scores of triples |
scRescal |
Scalable RESCAL Factorization |
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 |
Tensor_error |
RESCAL Tensor error |
tnsr2trp |
sparse tensor to triples |
umls_tnsr |
RDF tensor of UMLS small graph |