Distant Meta-Path Similarities for Text-Based Heterogeneous Information NetworksEI

摘要

Measuring network similarity is a fundamental data mining problem. The mainstream similarity measures mainly leverage the structural information regarding to the entities in the network without considering the network semantics. In the real world, the heterogeneous information networks (HINs) with rich semantics are ubiquitous. However, the existing network similarity doesnu0027t generalize well in HINs because they fail to capture the HIN semantics. The meta-path has been proposed and demonstrated as a right way to represent semantic...更多
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CIKM, pp. 1629-1638, 2017.

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