Improving Knowledge Graph Quality with Network Representation Learning

2018.

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Abstract:

Knowledge graphs serve as an essential source for many tasks in data mining, artificial intelligence, and interdisciplinary challenges such as entity disambiguation, fact checking, and computational journalism. However, real-world knowledge graphs are far from perfect, so it remains a crucial task to improve the quality and completeness o...More

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