Biblio

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Zhu, Y., L. Qin, J. Xu Yu, Y. Ke, and X. Lin, "High efficiency and quality: large graphs matching", VLDB J., vol. 22, no. 3, pp. 345-368, 2013.
Zhu, Y., L. Qin, J. Xu Yu, and H. Cheng, "Finding top-k similar graphs in graph databases", EDBT, pp. 456-467, 2012.
Zhu, Y., L. Qin, J. Xu Yu, Y. Ke, and X. Lin, "High efficiency and quality: large graphs matching", CIKM, pp. 1755-1764, 2011.
Zhu, Y., J. Xu Yu, H. Cheng, and L. Qin, "Graph classification: a diversified discriminative feature selection approach", CIKM, pp. 205-214, 2012.
Zhou, Y., H. Cheng, and J. Xu Yu, "Graph Clustering Based on Structural/Attribute Similarities", PVLDB, vol. 2, no. 1, pp. 718-729, 2009.
Zheng, W., H. Cheng, L. Zou, J. Xu Yu, and K. Zhao, "Natural Language Question/Answering: Let Users Talk With The Knowledge Graph", Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management, {CIKM} 2017, Singapore, November 06 - 10, 2017, pp. 217–226, 2017.
Zheng, W., C. Piao, H. Cheng, and J. Xu Yu, "Computing a Near-Maximum Independent Set in Dynamic Graphs", ICDE, pp. 76-87, 2019.
Zheng, W., H. Cheng, J. Yu Xu, L. Zou, and K. Zhao, "Interactive natural language question answering over knowledge graphs", Inf. Sci., vol. 481, pp. 141-159, 2019.
Zheng, W., L. Zou, X. Lian, J. Xu Yu, S. Song, and D. Zhao, "How to Build Templates for RDF Question/Answering: An Uncertain Graph Similarity Join Approach", Proceedings of the 2015 {ACM} {SIGMOD} International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, pp. 1809–1824, 2015.
Zhao, K., Z. Zhang, Y. Rong, J. Xu Yu, and J. Huang, "Finding Critical Users in Social Communities via Graph Convolutions", IEEE Trans. Knowl. Data Eng., vol. 35, pp. 456–468, 2023.
Zhao, K., S. Liu, J. Xu Yu, and Y. Rong, "Towards Feature-free TSP Solver Selection: A Deep Learning Approach", IJCNN, pp. 1-8, 2021.
Zhao, P., and J. Xu Yu, "Fast Frequent Free Tree Mining in Graph Databases", ICDM Workshops, pp. 315-319, 2006.
Zhao, P., and J. Xu Yu, "Mining Closed Frequent Free Trees in Graph Databases", DASFAA, pp. 91-102, 2007.
Zhao, K., and J. Xu Yu, "All-in-One: Graph Processing in RDBMSs Revisited", Proceedings of the 2017 {ACM} International Conference on Management of Data, {SIGMOD} Conference 2017, Chicago, IL, USA, May 14-19, 2017, pp. 1165–1180, 2017.
Zhao, K., J. Xu Yu, H. Zhang, Q. Li, and Y. Rong, "A Learned Sketch for Subgraph Counting", SIGMOD, pp. 2142-2155, 2021.
Zhao, K., J. Xu Yu, Y. Rong, M. Liao, and J. Huang, "Towards Expectation-Maximization by SQL in RDBMS", DASFAA, pp. 778-794, 2021.
Zhao, K., J. Xu Yu, Q. Li, H. Zhang, and Y. Rong, "Learned sketch for subgraph counting: a holistic approach", The VLDB Journal, pp. 1–26, 2023.
Zhao, K., J. Su, J. Xu Yu, and H. Zhang, "SQL-G: Efficient Graph Analytics by SQL.", IEEE Trans. Knol. Data Eng., vol. 33(5), issue 1973-1987, 2022.
Zhao, P., J. Xu Yu, and P. S. Yu, "Graph Indexing: Tree + Delta $>$= Graph", VLDB, pp. 938-949, 2007.
Zhao, K., J. Xu Yu, Z. He, R. Li, and H. Zhang, "Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process", SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022: ACM, pp. 973–987, 2022.
Zhao, K., and J. Xu Yu, "Graph Processing in RDBMSs", {IEEE} Data Eng. Bull., vol. 40, pp. 6–17, 2017.
Zhao, P., and J. Xu Yu, "Fast Frequent Free Tree Mining in Graph Databases", World Wide Web, vol. 11, no. 1, pp. 71-92, 2008.
Zhao, K., Y. Rong, J. Xu Yu, W. Huang, J. Huang, and H. Zhang, "Graph Ordering: Towards the Optimal by Learning", WISE, pp. 423-437, 2021.
Zhao, K., Z. He, J. Xu Yu, and Y. Rong, "Learning with small data: subgraph counting queries", Data Science and Engineering, pp. 1–14, 2023.
Zhang, H., J. Xu Yu, Y. Zhang, and K. Zhao, "Parallel Query Processing: To Separate Communication from Computation", SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022: ACM, pp. 1447–1461, 2022.

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