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QLite: Lightweight Knowledge Graph Embedding Framework With Query Processing

A vast number of studies on knowledge graph embedding have been conducted. However, most knowledge graph embedding models have high dimensional embedding vectors. To use the models in embedded systems such as mobile devices or robots, we need to reduce the size of the embedding models. Although ther...

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Détails bibliographiques
Auteurs principaux: Chun-Hee Lee, Dong-Oh Kang
Format: Artigo
Langue:Inglês
Publié: IEEE 2025-01-01
Collection:IEEE Access
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Accès en ligne:https://ieeexplore.ieee.org/document/11316518/
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