Knowledge Graph Embedding by Relational Rotation in Complex ...

[1902.10197] RotatE: Knowledge Graph Embedding by Relational ...

In this paper, we present a new approach for knowledge graph embedding called RotatE, which is able to model and infer various relation patterns.

In this paper, we present a new approach for knowledge graph embedding called RotatE, which is able to model and infer various relation patterns.

Knowledge graph embedding by relational rotation and complex ...

This paper proposes the ConvRot model, which integrates a 2D convolution. Specifically, we perform convolution on embeddings of entities and relations to ...

DeepGraphLearning/KnowledgeGraphEmbedding - GitHub

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space · entities.dict: a dictionary map entities to unique ids · relations.dict: a dictionary ...

ROTATE: KNOWLEDGE GRAPH EMBEDDING BY RELA

Specifically, the RotatE model defines each relation as a rotation from the source entity to the target entity in the complex vector space. In addition, we ...

Knowledge Graph Embedding by Relational Rotation in Complex ...

Experimental results show that the proposed RotatE model is not only scalable, but also able to infer and model various relation patterns and significantly ...

Knowledge Graph Embedding by Relational Rotation in Complex ...

“RotatE: Knowledge Graph Embedding by Relational. Rotation in Complex Space.” In submission to ICLR'19. Page 2. Knowledge Graphs. • A set of facts represented ...

Knowledge Graph Embedding by Relational Rotation of Path in ...

Path-RotatE: Knowledge Graph Embedding by Relational Rotation of Path in Complex Space ... Abstract: We study the problem of learning knowledge representations of ...

RotatE Explained - Papers With Code

RotatE is a method for generating graph embeddings which is able to model and infer various relation patterns including: symmetry/antisymmetry, inversion, and ...

Knowledge graph embedding by relational rotation and complex ...

Highlights. •. Geometric-based models are intuitive but do not have expressive powers. •. Interaction features enhance valuable information for rotation ...

Knowledge Graph Embedding by Relational Rotation in Complex ...

The proposed RotatE model leverages the advantages of both. ... experiments show that this is very critical for modeling and inferring the ...

Knowledge Graph Embedding by Relational Rotation in Complex ...

Bibliographic details on RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

Rotate: Knowledge graph embedding by relational rotation in ... - RALI

Title, Rotate: Knowledge graph embedding by relational rotation in complex space. Publication Type, Journal Article. Year of Publication, 2019.

rotate: knowledge graph embedding by rela - arXiv

Specifically, the RotatE model defines each relation as a rotation from the source entity to the target entity in the complex vector space. In ...

Knowledge Graph Embedding by Relational Rotation in Complex ...

External Links · Cite Key · Statistics · PDF · Researchr · RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

Knowledge graph embedding by relational rotation and complex ...

(2018). Convolutional 2D knowledge graph embeddings. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative ...

Knowledge graph embedding by relational rotation and complex ...

Knowledge graph embedding by relational rotation and complex convolution for link prediction ... Abstract: Knowledge graphs are organized as triplets to represent ...

Knowledge Graph Embedding by Relational Rotation of Path in ...

As the meta-path encoder, we adopt a relational rotation encoder proposed by RotatE [26] , which is proposed to process knowledge graphs. By adopting RotatE as ...

Knowledge Graph Embedding by Relational Rotation of Path in ...

DisMult can only model symmetric relations, and ComplEx. [4] cannot model combination relations. It can be seen that most models are not perfect in modeling ...

Knowledge graph embedding - Wikipedia

In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, is a ...