Serafeim Chatzopoulos
Dimitrios Skoutas
Abstract
We present SPHINX, a system for metapath-based entity exploration in Heterogeneous Information Networks (HINs). SPHINX allows users to define different views over a HIN based on both automatically selected and user-defined meta-paths. Then, entity ranking and similarity search can be performed over these views to find and explore entities of interest, taking also into account any spatial or temporal properties of entities. A Web-based user interface is provided to facilitate users in performing the various functionalities supported by the system, including metapath-based view definition, index construction, search parameters specification, and visual comparison of the results.
- Y. Dong, N. V. Chawla, and A. Swami. metapath2vec: Scalable representation learning for heterogeneous networks. In SIGKDD, pages 135--144, 2017. Google Scholar
Digital Library
- I. F. Ilyas, G. Beskales, and M. A. Soliman. A survey of top-k query processing techniques in relational database systems. ACM Comput. Surv., 40(4):11:1--11:58, 2008. Google ScholarDigital Library
- C. Shi, B. Hu, W. X. Zhao, and P. S. Yu. Heterogeneous information network embedding for recommendation. IEEE Trans. Knowl. Data Eng., 31(2):357--370, 2019. Google ScholarDigital Library
- C. Shi, Y. Li, J. Zhang, Y. Sun, and P. S. Yu. A survey of heterogeneous information network analysis. IEEE Trans. Knowl. Data Eng., 29(1):17--37, 2017. Google ScholarDigital Library
- Y. Sun, J. Han, X. Yan, P. S. Yu, and T. Wu. Pathsim: Meta path-based top-k similarity search in heterogeneous information networks. PVLDB, 4(11):992--1003, 2011. Google ScholarDigital Library
- C. Xiao, W. Wang, X. Lin, and H. Shang. Top-k set similarity joins. In ICDE, pages 916--927, 2009. Google ScholarDigital Library
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