KTAT: A Complex Embedding Model of Knowledge Graph Integrating Type Information and Attention Mechanism
Knowledge graph embedding learning aims to represent the entities and relationships of real-world knowledge as low-dimensional dense vectors. Existing knowledge representation learning methods mostly aggregate only the internal information of triplets and graph structure information. Recent research...
| Published in: | Applied Sciences |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/13/7924 |
