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

• المؤلفون الرئيسيون: Zhang, Xinyi, Chen, Lihui
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering; Heterogeneous Information Network; Network Embedding
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/153697

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...