A Hierarchical Knowledge Graph Embedding Framework for Link Prediction
Knowledge graph embedding maps the semantics of entities and relations to a low-dimensional space by optimizing the vector distance between positive and negative triples. Traditional negative sampling techniques usually regard high-scoring triples as high-quality negative triples, but this not only...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10757389/ |
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