3 papers
stat.ME2025
Hypothesis testing for the dimension of random geometric graph
Mingao Yuan, Feng Yu
Random geometric graphs (RGGs) offer a powerful tool for analyzing the geometric and dependence structures in real-world networks. For example, it has been observed that RGGs are a…
math.CO2025
On the number of small edge-weighted subgraphs
Feng Yu, Mingao Yuan
Subgraph counting is a fundamental task that underpins several network analysis methodologies, including community detection and graph two-sample tests. Counting subgraphs is a com…
stat.ME2025
Hypothesis testing for the uniformity of random geometric graph
Mingao Yuan
Random geometric graphs are widely used in modeling geometry and dependence structure in networks. In a random geometric graph, nodes are independently generated from some probabil…