mSHINE : a multiple-meta-paths simultaneous learning framework for heterogeneous information network embedding

Heterogeneous information networks (HINs) become popular in recent years for its strong capability of modelling objects with abundant information using explicit network structure. Network embedding has been proved as an effective method to convert information networks into lower-dimensional space, w...

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Main Authors: Zhang, Xinyi, Chen, Lihui
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2021
主題:
在線閱讀:https://hdl.handle.net/10356/153697
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機構: Nanyang Technological University
語言: English