496 citations · 1.4k across the 47 of their papers we have counts for
11 papers · 1 filter
Hypergraph Representation Learning with Hyperlink Random Effects
Zimeng Li, Shihao Wu, Gongjun Xu +1
Hypergraphs record multi-way interactions among entities. Extracting information from the combinatorial structure underlying observed multi-way interactions is a central task in ma…
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
Feifan Jiang, Yinan Bu, Shihao Wu +2
Network data are ubiquitous across the social sciences, biology, and information systems. Generating realistic synthetic network data has broad applications from network simulation…
Interpretable Network-assisted Random Forest+
Tiffany M. Tang, Elizaveta Levina, Ji Zhu
Machine learning algorithms often assume that training samples are independent. When data points are connected by a network, the induced dependency between samples is both a challe…
Fair Information Spread on Social Networks with Community Structure
Octavio Mesner, Elizaveta Levina, Ji Zhu
Information spread through social networks is ubiquitous. Influence maximiza- tion (IM) algorithms aim to identify individuals who will generate the greatest spread through the soc…
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…
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
Weijing Tang, Jiaqi Ma, Qiaozhu Mei +1
In this paper, we propose a flexible model for survival analysis using neural networks along with scalable optimization algorithms. One key technical challenge for directly applyin…
Classification with Ultrahigh-Dimensional Features
Yanming Li, Hyokyoung Hong, Jian Kang +3
Although much progress has been made in classification with high-dimensional features \citep{Fan_Fan:2008, JGuo:2010, CaiSun:2014, PRXu:2014}, classification with ultrahigh-dimensi…
Community Detection in Networks with Node Features
Yuan Zhang, Elizaveta Levina, Ji Zhu
Many methods have been proposed for community detection in networks, but most of them do not take into account additional information on the nodes that is often available in practi…
Estimating network edge probabilities by neighborhood smoothing
Yuan Zhang, Elizaveta Levina, Ji Zhu
The estimation of probabilities of network edges from the observed adjacency matrix has important applications to predicting missing links and network denoising. It has usually bee…
Detecting Overlapping Communities in Networks Using Spectral Methods
Yuan Zhang, Elizaveta Levina, Ji Zhu
Community detection is a fundamental problem in network analysis which is made more challenging by overlaps between communities which often occur in practice. Here we propose a gen…
High-dimensional Mixed Graphical Models
Jie Cheng, Tianxi Li, Elizaveta Levina +1
While graphical models for continuous data (Gaussian graphical models) and discrete data (Ising models) have been extensively studied, there is little work on graphical models link…