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Please predict whether this patent is acceptable.PATENT ABSTRACT: A method for link prediction includes providing training samples for at least one relation. The training samples include positive training samples in which a first of a set of entities is a subject in the relation and a second of the set of entities is an object in the relation. An input matrix is generated for each of the at least one relation, based on the training samples. Parameters of a scoring function which minimize an error between a reconstructed matrix and the input matrix are learned, the parameters including a set of latent factors for each entity, each of the latent factors being a complex number. The parameters of the scoring function may be output for performing link prediction and/or used for predicting an entity for a relation from a part of the reconstructed matrix.