Biblio

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Zhang, H., J. Xu Yu, Y. Zhang, K. Zhao, and H. Cheng, "Distributed Subgraph Counting: A General Approach", PVLDB, pp. 2493-2507, 2020.
Zhang, Y., and J. Xu Yu, "Unboundedness and Efficiency of Truss Maintenance in Evolving Graphs", SIGMOD, pp. 1024-1041, 2019.
Zhang, Y., and J. Xu Yu, "Relative subboundedness of contraction hierarchy and hierarchical 2-hop index in dynamic road networks", Proceedings of the 2022 International Conference on Management of Data, pp. 1992–2005, 2022.
Zhang, H., M. Qiao, J. Xu Yu, and H. Cheng, "Fast Distributed Complex Join Processing", ICDE, pp. 2087-2092, 2021.
Zhang, Z., J. Xu Yu, L. Qin, L. Chang, and X. Lin, "I/O efficient: computing SCCs in massive graphs", SIGMOD Conference: ACM, pp. 181-192, 2013.
Zhang, Y., and J. Xu Yu, "Hub Labeling for Shortest Path Counting", SIGMOD, pp. 1813-1828, 2020.
Zhang, Z., J. Xu Yu, L. Qin, and Z. Shang, "Divide & Conquer: I/O Efficient Depth-First Search", Proceedings of the 2015 {ACM} {SIGMOD} International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, pp. 445–458, 2015.
Zhang, H., Q. Li, K. Zhao, J. Xu Yu, and Y. Zhu, "How Learning Can Help Complex Cyclic Join Decomposition", 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022: IEEE, pp. 3138–3141, 2022.
Zhang, S., L. Qin, Y. Zheng, and H. Cheng, "Effective and efficient: large-scale dynamic city express", Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, pp. 48:1–48:4, 2015.
Zhang, Z., J. Xu Yu, L. Qin, Q. Zhu, and X. Zhou, "I/O cost minimization: reachability queries processing over massive graphs", EDBT, pp. 468-479, 2012.
Zhang, Z., J. Xu Yu, L. Qin, L. Chang, and X. Lin, "I/O efficient: computing SCCs in massive graphs", {VLDB} J., vol. 24, pp. 245–270, 2015.
Zhang, Y., J. Xu Yu, Y. Zhang, and L. Qin, "A Fast Order-Based Approach for Core Maintenance", 33rd {IEEE} International Conference on Data Engineering, {ICDE} 2017, San Diego, CA, USA, April 19-22, 2017, pp. 337–348, 2017.
Zhang, S., L. Qin, Y. Zheng, and H. Cheng, "Effective and Efficient: Large-Scale Dynamic City Express", {IEEE} Trans. Knowl. Data Eng., vol. 28, pp. 3203–3217, 2016.
Zhang, Z., L. Qin, and J. Xu Yu, "Contract & Expand: I/O Efficient SCCs Computing", ICDE, pp. 208–219, 2014.
Zhang, X., K. Xie, S. Wang, and Z. Huang, "Learning Based Proximity Matrix Factorization for Node Embedding", KDD, pp. 2243-2253, 2021.
Zhang, H., Y. Zhu, L. Qin, H. Cheng, and J. Xu Yu, "Efficient Local Clustering Coefficient Estimation in Massive Graphs", Database Systems for Advanced Applications - 22nd International Conference, {DASFAA} 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part {II}, pp. 371–386, 2017.
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.
Zhang, Y., J. Xu Yu, Y. Zhang, and L. Qin, "A Fast Order-Based Approach for Core Maintenance", CoRR, vol. abs/1606.00200, 2016.
Zhao, P., J. Xu Yu, and P. S. Yu, "Graph Indexing: Tree + Delta $>$= Graph", VLDB, pp. 938-949, 2007.
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, P., and J. Xu Yu, "Mining Closed Frequent Free Trees in Graph Databases", DASFAA, pp. 91-102, 2007.
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., and J. Xu Yu, "Graph Processing in RDBMSs", {IEEE} Data Eng. Bull., vol. 40, pp. 6–17, 2017.
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, 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.

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