4 papers
Linear regression with probabilistic networks for network-linked data
Jingnan Zhang, Shiwen Ye, Danyang Huang
Network-linked data combine a network with covariates and responses observed for its nodes. Common regression approaches either model dependence among neighboring responses using t…
Community detection in heterogeneous signed networks
Yuwen Wang, Shiwen Ye, Jingnan Zhang +1
Network data has attracted growing interest across scientific domains, prompting the development of various network models. Existing network analysis methods mainly focus on unsign…
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Xingdong Feng, Xin He, Caixing Wang +2
Covariate shift occurs prevalently in practice, where the input distributions of the source and target data are substantially different. Despite its practical importance in various…
Change point detection in dynamic heterogeneous networks via subspace tracking
Yuzhao Zhang, Jingnan Zhang, Yifan Sun +1
Dynamic networks consist of a sequence of time-varying networks, and it is of great importance to detect the network change points. Most existing methods focus on detecting abrupt…