Adversarial Knowledge Representation Learning Without External Model

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...

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Bibliographic Details
Main Authors: Jingpei Lei, Dantong Ouyang, Ying Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
knowledge graph
knowledge representation learning
link prediction
Adversarial learning
negative sampling
Online Access:https://ieeexplore.ieee.org/document/8599182/

Internet

https://ieeexplore.ieee.org/document/8599182/

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