Jan 13, 2023 · In this paper, we extend our previously introduced metric Sem@K that measures the capability of models to predict valid entities wrt domain and range ...

Jan 22, 2023 · We also perform an extensive study of KGEM semantic awareness. Our experiments show that Sem@K provides a new perspective on KGEM quality. Its ...

Dec 13, 2023 · Based on domains and ranges of relations, Sem@K assesses to what extent the predictions of a model are semantically valid. The present work ...

Dec 7, 2023 · In the present work, we deepen the study of the semantic awareness of KGEMs by proposing different versions of Sem@K that take into account the ...

Using knowledge graph embedding models (KGEMs) is a popular approach for predicting links in knowledge graphs (KGs). Traditionally, the performance of KGEMs ...

Jan 16, 2023 · Abstract and Figures. Using knowledge graph embedding models (KGEMs) is a popular approach for predicting links in knowledge graphs (KGs).

Sem@K: Is my knowledge graph embedding model semantic-aware?. Semantic Web, 2023, 14 (6), 1273-1309. description File · code Code. Jixiong Liu, Yoan Chabot ...

Sem@ K : Is my knowledge graph embedding model semantic-aware? ... That is why, in this paper, we extend our previously introduced metric Sem@K that measures the ...

Cite Email Print Share. Sem@ K: Is my knowledge graph embedding model semantic-aware? Authors: Hubert, Nicolas | Monnin, Pierre | Brun, Armelle | Monticolo ...

Knowledge graph embedding models (KGEMs) are used for various tasks related to knowledge graphs (KGs), including link prediction. They are trained with loss ...