Network Representation Learning Algorithm Based on Complete Subgraph Folding

Network representation learning is a machine learning method that maps network topology and node information into low-dimensional vector space. Network representation learning enables the reduction of temporal and spatial complexity in the downstream data mining of networks, such as node classificat...

Full description

Bibliographic Details
Main Authors: Dongming Chen, Mingshuo Nie, Jiarui Yan, Dongqi Wang, Qianqian Gan
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/4/581