Semi-supervised Clustering in Attributed Heterogeneous Information Networks
作者： Xiang Li , Yao Wu , Martin Ester , Ben Kao , Xin Wang
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摘要: A heterogeneous information network (HIN) is one whose nodes model objects of different types and whose links model objects' relationships. In many applications, such as social networks and RDF-based knowledge bases, information can be modeled as HINs. To enrich its information content, objects (as represented by nodes) in an HIN are typically associated with additional attributes. We call such an HIN an Attributed HIN or AHIN. We study the problem of clustering objects in an AHIN, taking into account objects' similarities with respect …
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sci-hub.se 参考文章(41)
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