Dec 1, 2023 · This paper introduces a novel model that incorporates both contextual and literal information into entity and relation embeddings by utilizing ...
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Abstract. Recent studies focus on embedding learning over knowledge graphs, which map entities and relations in knowledge graphs.
Nov 30, 2020 · In this paper, we focus on this problem and propose a rule-guided joint embedding learning model which integrates the contextual information ...
This paper introduces a novel model thatincorporates both contextual and literal information into entity and relationembeddings by utilizing graph convolutional ...
Representation learning on a knowledge graph (KG) is to embed entities and relations of a KG into low-dimensional continuous vector spaces. Early KG embedding ...
Apr 9, 2022 · In recent years, numerous research works have been devoted to knowledge graph embedding learning which aims to encode entities and relations ...
Abstract. Rules over a Knowledge Graph (KG) capture interpretable patterns in data and various methods for rule learning have been proposed. Since KGs are ...
Rules over a Knowledge Graph (KG) capture interpretable patterns ... The Rule Learning block constructs rules ... Jointly embedding knowledge graphs and logical ...
In recent studies, the focus has been on enhancing knowledge graph embedding learning, which encodes entities and relations in knowledge graphs into low- ...
Abstract. Representation learning on a knowledge graph (KG) is to em- bed entities and relations of a KG into low-dimensional con- tinuous vector spaces.