HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding

arXiv: Social and Information Networks, 2019.

Cited by: 6|Bibtex|Views47
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Given the intractability of large scale HIN, network embedding which learns low dimensional proximity-preserved representations for nodes in the new space becomes a natural way to analyse HIN. However, two challenges arise in HIN embedding. (1) Different HIN structures with different semantic meanings play different roles in capturing rel...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments