Knowledge graph embedding with deep learning
Knowledge graphs (KGs) are widely used to represent structured knowledge, such as entities and their relationships, in applications like natural language processing, information retrieval, and recommendation systems. However, real-world domains are complex, leading to incomplete and error-prone KGs....
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/173397 |
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| Institution: | Nanyang Technological University |
| Language: | English |