Search Results - "Yuan, MinGao"

On the Randić index and its variants of network data by Yuan, Mingao

“…Summary statistics play an important role in network data analysis. They can provide us with meaningful insight into the structure of a network. The Randić…”
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Weighted Graph-Based Two-Sample Test via Empirical Likelihood by Zhao, Xiaofeng, Yuan, Mingao

“…In network data analysis, one of the important problems is determining if two collections of networks are drawn from the same distribution. This problem can be…”
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Information Limits for Community Detection in Hypergraph with Label Information by Zhao, Xiaofeng, Zhao, Wei, Yuan, Mingao

“…In network data mining, community detection refers to the problem of partitioning the nodes of a network into clusters (communities). This is equivalent to…”
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Conformal vector fields on some Finsler manifolds by Shen, ZhongMin, Yuan, MinGao

“…We study conformal vector fields on a Finsler manifold whose metric is defined by a Riemannian metric, a 1-form and its norm. We find PDEs characterizing…”
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Asymptotic coarse Ricci curvature of inhomogeneous random graph by Yuan, Mingao

“…In this paper, we study the coarse Ricci curvature of inhomogeneous random graph on vertex set [n]≔{1,2,…,n}. In this graph, each pair of vertices (i,j) forms…”
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Phase transitions in a power-law uniform hypergraph by Yuan, Mingao

“…We propose a power-law m-uniform random hypergraph on n vertices. In this hypergraph, each vertex is independently assigned a random weight from a power-law…”
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On the Rényi index of random graphs by Yuan, Mingao

“…Networks (graphs) permeate scientific fields such as biology, social science, economics, etc. Empirical studies have shown that real-world networks are often…”
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Limiting distribution of short cycles in inhomogeneous random uniform hypergraph by Yuan, Mingao

“…In random graph theory, one of the classical topics is to understand the asymptotic properties of the number of subgraphs. In this paper, we study the limiting…”
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Robustness of clustering coefficients by Zhao, Xiaofeng, Yuan, Mingao

“…In analyzing collected network data, measurement error is a common concern. One of the current research interests is to study robustness of network properties…”
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Heterogeneous dense subhypergraph detection by Yuan, Mingao, Shang, Zuofeng

“…We study the problem of testing the existence of a heterogeneous dense subhypergraph. The null hypothesis corresponds to a heterogeneous Erdös–Rényi uniform…”
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Test for the parametric part in partial functional linear regression based on B-spline by Yuan, Mingao, Zhang, Yue

“…In this paper, we investigate the hypothesis test of the parametric component in partial functional linear regression model based on B-spline. The test…”
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Approximate and exact designs for total effects by Kong, Xiangshun, Yuan, Mingao, Zheng, Wei

“…This paper considers both approximate and exact designs for estimating the total effects under one crossover and two interference models. They are different…”
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Information limits for detecting a subhypergraph by Yuan, Mingao, Shang, Zuofeng

“…We consider the problem of recovering a subhypergraph based on an observed adjacency tensor corresponding to a uniform hypergraph. The uniform hypergraph is…”
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Nonreconstruction of high-dimensional stochastic block model with bounded degree by Zhang, Yue, Yuan, Mingao

“…In this paper, we study the stochastic block model (SBM) with growing number of clusters and bounded degree. Specifically, for SBM Gsn(n,an,bn) with diverging…”
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Community Detection in Censored Hypergraph by Yuan, Mingao, Zhao, Bin, Zhao, Xiaofeng

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Testing community structure for hypergraphs by Yuan, Mingao, Liu, Ruiqi, Feng, Yang, Shang, Zuofeng

“…Many complex networks in the real world can be formulated as hypergraphs where community detection has been widely used. However, the fundamental question of…”
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A practical two-sample test for weighted random graphs by Yuan, Mingao, Wen, Qian

“…Network (graph) data analysis is a popular research topic in statistics and machine learning. In application, one is frequently confronted with graph…”
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A likelihood-ratio type test for stochastic block models with bounded degrees by Yuan, Mingao, Feng, Yang, Shang, Zuofeng

“…A fundamental problem in network data analysis is to test Erdös–Rényi model Gn,a+b2n versus a bisection stochastic block model Gn,an,bn, where a,b>0 are…”
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Online statistical inference for parameters estimation with linear-equality constraints by Liu, Ruiqi, Yuan, Mingao, Shang, Zuofeng

“…Stochastic gradient descent (SGD) and projected stochastic gradient descent (PSGD) are scalable algorithms to compute model parameters in unconstrained and…”
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Scalable kernel two-sample tests via empirical likelihood and jackknife by Wen, Qian, Yuan, Mingao

“…Two-sample hypothesis testing is a classical problem in statistics. Given i.i.d. samples and the two-sample testing is to test whether P is significantly…”
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