PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks
KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Halifax NS Canada August, 2017, pp. 425-434, 2017.
Heterogeneous information networksgraph miningmeta-pathsrelevance measures
As a powerful representation paradigm for networked and multi-typed data, the heterogeneous information network (HIN) is ubiquitous. Meanwhile, defining proper relevance measures has always been a fundamental problem and of great pragmatic importance for network mining tasks. Inspired by our probabilistic interpretation of existing path-b...More
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