Scalable top-k query on information networks with hierarchical inheritance relations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems and Management,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10619-023-07432-2.pdf
Reference53 articles.
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2. Gupta, M., Gao, J., Yan, X., Cam, H., Han, J.: On detecting association-based clique outliers in heterogeneous information networks. In: 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), pp. 108–115. IEEE (2013)
3. Shi, C., Li, Y., Zhang, J., Sun, Y., Philip, S.Y.: A survey of heterogeneous information network analysis. IEEE Trans. Knowl. Data Eng. 29(1), 17–37 (2017)
4. Sun, Y., Han, J.: Mining heterogeneous information networks: principles and methodologies. Synth. Lect. Data Mining Knowl. Discov. 3(2), 1–159 (2012)
5. Fujiwara, Y., Nakatsuji, M., Onizuka, M., Kitsuregawa, M.: Fast and exact top-k search for random walk with restart. Proc. VLDB Endowment 5(5), 442–453 (2012)
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