Adversarial Knowledge Representation Learning Without External Model
Knowledge representation learning, which embeds entities and relations of knowledge graph into low-dimensional vectors, is efficient for predicting missing facts. Knowledge graph datasets only store positive triplets. Nevertheless, negative cases are similarly crucial in knowledge representation lea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8599182/ |