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…