getTensor3m: getting tensor from triples

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

Description

gets a tensor data structure as a set of frontal slices represented as sparse matrices. The entities as subject has a different id than object and the size of subject and object modes can be different.

Usage

getTensor3m(trp, S = NULL, P = NULL, O = NULL)

Arguments

trp	three columns representing the set of triples (subject, predicate, object). Each row representes one triple.
S	the predifined list of subjects
P	The set of predicates
O	the predifined list of objects

Value

A LIST containing:

X	set of sparse matrices with ones in the position of triples, each sparse matix represents one predicate (relationship)
S	the set of entities in the subject domain
O	the set of entities in the object domain
P	the set of predicates

Author(s)

Abdelmoneim Amer Desouki

RDFTensor documentation built on Jan. 16, 2021, 5:19 p.m.