An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning
Abstract Knowledge graph embedding (KGE) is an effective method for link prediction in knowledge graphs, with numerous models demonstrating significant success. However, many existing KGE models struggle to effectively represent complex relationships and often face challenges related to a substantia...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-98550-7 |
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