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

• Main Authors: Zhang, Xinyi, Chen, Lihui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Heterogeneous Information Network; Network Embedding
• Online Access: https://hdl.handle.net/10356/153697
• Institution: Nanyang Technological University

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...