4 papers · 1 filter
Attributed Network Alignment: Statistical Limits and Efficient Algorithm
Dong Huang, Chenyang Tian, Pengkun Yang
This paper studies the problem of recovering a hidden vertex correspondence between two correlated graphs when both edge weights and node features are observed. While most existing…
Fundamental Limits of Community Detection in Contextual Multi-Layer Stochastic Block Models
Shuyang Gong, Dong Huang, Zhangsong Li
We consider the problem of community detection from the joint observation of a high-dimensional covariate matrix and sparse networks, all encoding noisy, partial information ab…
Sample Complexity of Correlation Detection in Erdős-Rényi graphs
Dong Huang, Pengkun Yang
In this paper, we study correlation detection problem between a pair of Erdős-Rényi graphs. Under the null hypothesis, the two graphs are independent, whereas under the alternative…
Sample Complexity of Correlation Detection in the Gaussian Wigner Model
Dong Huang, Pengkun Yang
Correlation analysis is a fundamental step in uncovering meaningful insights from complex datasets. In this paper, we study the problem of detecting correlations between two random…