Multi-relation-pattern knowledge graph embeddings for link prediction in hyperbolic space
The aim of Knowledge Graph Embedding (KGE) is to acquire low-dimensional representations of entities and relationships for the purpose of predicting new valid triples, thereby enhancing the functionality of intelligent networks that rely on accurate data representation. In recommendation systems, fo...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
KeAi Communications Co., Ltd.
2025-01-01
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| Serier: | International Journal of Intelligent Networks |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S266660302500003X |
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