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A variety of universal similarity factorization equalities over real Clifford algebras ${\cal R}_{p,q}$ are established. On the basis of these equalities, real, complex and quaternion matrix representations of elements in ${\cal R}_{p,q}$…

Mathematical Physics · Physics 2016-09-07 Yongge Tian

Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space. Several approaches using embeddings have shown promising results on tasks such as link…

Computation and Language · Computer Science 2018-11-12 Tommaso Soru , Stefano Ruberto , Diego Moussallem , André Valdestilhas , Alexander Bigerl , Edgard Marx , Diego Esteves

A simple geometric algebra is shown to contain automatically the leptons and quarks of a family of the Standard Model, and the electroweak and color gauge symmetries, without predicting extra particles and symmetries. The algebra is already…

High Energy Physics - Theory · Physics 2018-05-10 Ovidiu Cristinel Stoica

Let $V$ be a $n$-dimensional real vector space. In this paper we introduce the concept of \emph{euclidean} Clifford algebra $\mathcal{C\ell}(V,G_{E})$ for a given euclidean structure on $V,$ i.e., a pair $(V,G_{E})$ where $G_{E}$ is a…

Mathematical Physics · Physics 2016-08-16 V. V. Fernández , A. M. Moya , W. A. Rodrigues

In this paper we find a Clifford algebra associated to generalized Fibonacci quaternions. In this way, we provide a nice algorithm to obtain a division quaternion algebra starting from a quaternion non-division algebra and vice-versa.

Rings and Algebras · Mathematics 2014-04-08 Cristina Flaut

Knowledge Graph Embedding (KGE) aims to represent entities and relations of knowledge graph in a low-dimensional continuous vector space. Recent works focus on incorporating structural knowledge with additional information, such as entity…

Computation and Language · Computer Science 2018-08-14 Kai Wang , Yu Liu , Xiujuan Xu , Dan Lin

Knowledge graph (KG) embedding methods learn geometric representations of entities and relations to predict plausible missing knowledge. These representations are typically assumed to capture rule-like inference patterns. However, our…

Artificial Intelligence · Computer Science 2025-07-29 Aleksandar Pavlovic , Emanuel Sallinger , Steven Schockaert

CLIFFORD performs various computations in Grassmann and Clifford algebras. It can compute with quaternions, octonions, and matrices with entries in Cl(B) - the Clifford algebra of a vector space V endowed with an arbitrary bilinear form B.…

Mathematical Physics · Physics 2013-01-14 Rafal Ablamowicz , Bertfried Fauser

An algorithm to extract the square root in radicals from a multivector (MV) in real Clifford algebras Cl(p,q) for n=p+q <=3 is presented. We show that in the algebras Cl(3,0), Cl(1,2) and Cl(0,3) there are up to four isolated roots in a…

Mathematical Physics · Physics 2024-04-18 A. Acus , A. Dargys

Knowledge graph embeddings are now a widely adopted approach to knowledge representation in which entities and relationships are embedded in vector spaces. In this chapter, we introduce the reader to the concept of knowledge graph…

Artificial Intelligence · Computer Science 2020-05-01 Federico Bianchi , Gaetano Rossiello , Luca Costabello , Matteo Palmonari , Pasquale Minervini

Embedding entities and relations of a knowledge graph in a low-dimensional space has shown impressive performance in predicting missing links between entities. Although progresses have been achieved, existing methods are heuristically…

Computation and Language · Computer Science 2021-01-26 Danushka Bollegala , Huda Hakami , Yuichi Yoshida , Ken-ichi Kawarabayashi

We introduce a novel embedding method diverging from conventional approaches by operating within function spaces of finite dimension rather than finite vector space, thus departing significantly from standard knowledge graph embedding…

Machine Learning · Statistics 2024-09-25 Louis Mozart Kamdem Teyou , Caglar Demir , Axel-Cyrille Ngonga Ngomo

We propose a simple yet effective embedding model to learn quaternion embeddings for entities and relations in knowledge graphs. Our model aims to enhance correlations between head and tail entities given a relation within the Quaternion…

Computation and Language · Computer Science 2022-03-09 Dai Quoc Nguyen , Thanh Vu , Tu Dinh Nguyen , Dinh Phung

For the complex Clifford algebra Cl(p,q) of dimension n=p+q we define a Hermitian scalar product. This scalar product depends on the signature (p,q) of Clifford algebra. So, we arrive at unitary spaces on Clifford algebras. With the aid of…

Mathematical Physics · Physics 2019-10-21 N. G. Marchuk , D. S. Shirokov

In this article, we develop an algebraic framework of axioms which abstracts various high-level properties of multi-qudit representations of generalized Clifford algebras. We further construct an explicit model and prove that it satisfies…

Quantum Physics · Physics 2022-08-23 Robert Lin

There has been recent interest in novel Clifford geometric invariants of linear transformations. This motivates the investigation of such invariants for a certain type of geometric transformation of interest in the context of root systems,…

Machine Learning · Computer Science 2024-05-28 Siqi Chen , Pierre-Philippe Dechant , Yang-Hui He , Elli Heyes , Edward Hirst , Dmitrii Riabchenko

Embedding-based methods for reasoning in knowledge hypergraphs learn a representation for each entity and relation. Current methods do not capture the procedural rules underlying the relations in the graph. We propose a simple…

Machine Learning · Computer Science 2021-02-19 Bahare Fatemi , Perouz Taslakian , David Vazquez , David Poole

Clifford geometric algebras of multivectors are introduced which exhibit a bilinear form which is not necessarily symmetric. Looking at a subset of bi-vectors in CL(K^{2n},B), we proof that theses elements generate the Hecke algebra…

q-alg · Mathematics 2009-10-30 Bertfried Fauser

Research on knowledge graph embeddings has recently evolved into knowledge base embeddings, where the goal is not only to map facts into vector spaces but also constrain the models so that they take into account the relevant conceptual…

Artificial Intelligence · Computer Science 2024-08-12 Camille Bourgaux , Ricardo Guimarães , Raoul Koudijs , Victor Lacerda , Ana Ozaki

The main properties of hypercomplex generalization of quaternion system as antiquaternion are presented in this article. Definitions and studied of antiquaternions conjugation are introduced, their norm and zero divisor, and how to perform…

Numerical Analysis · Computer Science 2014-06-16 Yakiv O. Kalinovsky , Dmitry V. Lande , Dr. Sc. , Yuliya E. Boyarinova , Alina S. Turenko
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