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- W54840291 abstract "Heterogeneous information networks have attracted much attention in recent years and a key challenge is to compute the similarity between two objects. In this paper, we study the problem of similarity search in heterogeneous information networks, and extend the meta path-based similarity measure PathSim by incorporating richer information, such as transitive similarity and temporal dynamics. Experiments on a large DBLP network show that our improved similarity measure is more effective at identifying similar authors in terms of their future collaborations." @default.
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- W54840291 date "2014-01-01" @default.
- W54840291 modified "2023-09-26" @default.
- W54840291 title "Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks" @default.
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- W54840291 doi "https://doi.org/10.1007/978-3-319-05813-9_10" @default.
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