Biblio

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Conference Paper
Li, R-H., J. Xu Yu, and J. Liu, "Link prediction: the power of maximal entropy random walk", CIKM, pp. 1147-1156, 2011.
Liu, Z., J. Xu Yu, X. Lin, H. Lu, and W. Wang 0011, "Locating Motifs in Time-Series Data", PAKDD, pp. 343-353, 2005.
Zhao, K., J. Xu Yu, H. Zhang, Q. Li, and Y. Rong, "A Learned Sketch for Subgraph Counting", SIGMOD, pp. 2142-2155, 2021.
Zhang, X., K. Xie, S. Wang, and Z. Huang, "Learning Based Proximity Matrix Factorization for Node Embedding", KDD, pp. 2243-2253, 2021.
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.
Journal Article
Wu, D., Y. Ke, J. Xu Yu, P. S. Yu, and L. Chen 000, 2, "Leadership discovery when data correlatively evolve", World Wide Web, vol. 14, no. 1, pp. 1-25, 2011.
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., Z. He, J. Xu Yu, and Y. Rong, "Learning with small data: subgraph counting queries", Data Science and Engineering, pp. 1–14, 2023.