Discovering Meta-Paths in Large Heterogeneous Information Networks
WWW, pp. 754-764, 2015.
data miningheterogeneous networksknowledge basesmeta paths
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