DeeWaNA: An Unsupervised Network Representation Learning Framework Integrating Deepwalk and Neighborhood Aggregation for Node Classification

DeeWaNA: An Unsupervised Network Representation Learning Framework Integrating Deepwalk and Neighborhood Aggregation for Node Classification

This paper introduces DeeWaNA, an unsupervised network representation learning framework that unifies random walk strategies and neighborhood aggregation mechanisms to improve node classification performance. Unlike existing methods that treat these two paradigms separately, our approach integrates...

Full description

Saved in:
Bibliographic Details
Main Authors: Xin Xu, Xinya Lu, Jianan Wang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Entropy
Subjects:
unsupervised network representation learning
node classification
random walk
neighborhood aggregation
graph embedding
Online Access:https://www.mdpi.com/1099-4300/27/3/322
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1099-4300/27/3/322

Similar Items