Higher-Order Clustering in Heterogeneous Information Networks

Xinwei He
Xinwei He
Naijing Zhang
Naijing Zhang
Carl Yang
Carl Yang

arXiv: Social and Information Networks, Volume abs/1811.11320, 2018.

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Abstract:

As one type of complex networks widely-seen in real-world application, heterogeneous information networks (HINs) often encapsulate higher-order interactions that crucially reflect the complex nature among nodes and edges in real-world data. Modeling higher-order interactions in HIN facilitates the user-guided clustering problem by providi...More

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