Discovering Meta-Paths in Large Heterogeneous Information Networks

    WWW, pp. 754-764, 2015.

    Cited by: 56|Bibtex|Views19|Links
    EI
    Keywords:
    data miningheterogeneous networksknowledge basesmeta paths

    Abstract:

    The Heterogeneous Information Network (HIN) is a graph data model in which nodes and edges are annotated with class and relationship labels. Large and complex datasets, such as Yago or DBLP, can be modeled as HINs. Recent work has studied how to make use of these rich information sources. In particular, meta-paths, which represent sequenc...More

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