| CP_01 | transformation of the real-number-CP-decompositions to Binary |
| cp_als | Compute a CP decomposition using an alternating least-squares... |
| cp_apr | Compute nonnegative CP with alternating Poisson... |
| 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-package | Different Tensor Factorization (Decomposition) Techniques for... |
| recon_1prd_topn_par | Reconstruct predicate top scores on very large graphs |
| rescal | RESCAL: Tensor Factorization. |
| rescal_01 | transformation of the real-number-RESCAL-decompositions to... |
| RescalReconstructBack | reconstruct a tensor from RESCAL factorization result |
| 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 |
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