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Tiquan Gu

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Articles

Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network

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By Zhenzhen He, Engineering Xinjiang Urumqi, Jiong Yu, Tiquan Gu
| Wiley Online Library Verified
Summary With the increasing complexity of graph queries, query cost estimation has become a key challenge in graph databases. Accurate estimation results are critical for database administrators or database management systems to perform query processing or optimization tasks. An efficient and accurate estimation model can improve the estimation quality and make the produced results credible.
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