Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Incomplete Graph Learning: A Comprehensive Survey
Riting Xia, Huibo Liu, Anchen Li +4
Graph learning is a prevalent field that operates on ubiquitous graph data. Effective graph learning methods can extract valuable information from graphs. However, these methods ar…
cs.LG2020
A Block-based Generative Model for Attributed Networks Embedding
Xueyan Liu, Bo Yang, Wenzhuo Song +4
Attributed network embedding has attracted plenty of interest in recent years. It aims to learn task-independent, low-dimensional, and continuous vectors for nodes preserving both…