An Attribute Graph Embedding Algorithm for Sensing Topological and Attribute Influence

An Attribute Graph Embedding Algorithm for Sensing Topological and Attribute Influence

The unsupervised attribute graph embedding technique aims to learn low-dimensional node embedding using neighborhood topology and attribute information under unlabeled data. Current unsupervised models are mostly based on graph self-encoders, but full-batch training limits the scalability of the mod...

Full description

Saved in:
Bibliographic Details
Main Authors: Dongming Chen, Shuyue Zhang, Yumeng Zhao, Mingzhao Xie, Dongqi Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
graph embedding
graph neural networks
attention mechanisms
graph self-encoders
attribute graphs
Online Access:https://www.mdpi.com/2227-7390/12/23/3644
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items