6 citations · 9 across the 6 of their papers we have counts for
5 papers · 1 filter
Variational Estimators for Node Popularity Models
Jony Karki, Dongzhou Huang, Yunpeng Zhao
Node popularity is recognized as a key factor in modeling real-world networks, capturing heterogeneity in connectivity across communities. This concept is equally important in bipa…
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
Yunpeng Zhao, Ning Hao, Ji Zhu
Bipartite graphs are ubiquitous across various scientific and engineering fields. Simultaneously grouping the two types of nodes in a bipartite graph via biclustering represents a…
Logistic Regression Augmented Community Detection for Network Data with Application in Identifying Autism-Related Gene Pathways
Yunpeng Zhao, Qing Pan, Chengan Du
When searching for gene pathways leading to specific disease outcomes, additional information on gene characteristics is often available that may facilitate to differentiate genes…
On Consistency of Graph-based Semi-supervised Learning
Chengan Du, Yunpeng Zhao, Feng Wang
Graph-based semi-supervised learning is one of the most popular methods in machine learning. Some of its theoretical properties such as bounds for the generalization error and the…
Link prediction for partially observed networks
Yunpeng Zhao, Elizaveta Levina, Ji Zhu
Link prediction is one of the fundamental problems in network analysis. In many applications, notably in genetics, a partially observed network may not contain any negative example…