Query execution time estimation in graph databases based on graph neural networks

Author:

He Zhenzhen,Yu Jiong,Gu Tiquan,Yang Dexian

Funder

Natural Science Foundation of Xinjiang Uygur Autonomous Region

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Learning-based query performance modeling and prediction[C];Akdere,2012

2. A novel deep learning method for query task execution time prediction in graph database[J];Chu;Futur. Gener. Comput. Syst.,2020

3. Chung J, Gulcehre C, Cho K H, et al. Empirical evaluation of gated recurrent neural networks on sequence. modeling[J]. arXiv preprint arXiv:1412.3555, 2014.

4. Workload-aware database monitoring and consolidation[C];Curino;Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data.,2011

5. Davitkova A, Gjurovski D, Michel S. LMKG: Learned Models for Cardinality Estimation in Knowledge. Graphs[J]. arXiv preprint arXiv:2102.10588, 2021.

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