Uncertain Knowledge Graph Embedding Using Auxiliary Information
Uncertain knowledge graphs (UKGs) offer a more realistic representation of knowledge by capturing the uncertainty associated with facts. However, existing UKG embedding methods primarily rely on structural information for confidence score prediction, neglecting other sources of uncertainty. This pap...
Gardado en:
| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/10623627/ |
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