Citation network analysis with deep learning
Heterogeneous information networks (HINs) can be found everywhere in real-world applications. At the same time, node embedding has been regarded as a useful tool to mine and learn from networked data. As a result, it is of interest to develop HIN embedding methods. However, the heterogeneity in HINs...
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77382 |