13 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks
Yimei Zheng, Caiyan Jia, Jian Yu +1
Many complex systems in the real world can be characterized by attributed networks. To mine the potential information in these networks, deep embedded clustering, which obtains nod…
cs.SI2021★ 13 cited
A Generative Node-attribute Network Model for Detecting Generalized Structure
Wei Liu, Zhenhai Chang, Caiyan Jia +1
Exploring meaningful structural regularities embedded in networks is a key to understanding and analyzing the structure and function of a network. The node-attribute information ca…
physics.soc-ph2019★ 1 cited
A Generative Model for Exploring Structure Regularities in Attributed Networks
Zhenhai Chang, Caiyan Jia, Xianjun Yin +1
Many real-world networks known as attributed networks contain two types of information: topology information and node attributes. It is a challenging task on how to use these two t…