activity
20142021
most citedDetecting Overlapping Communities in Networks Using Spectral Methods

44 citations · 88 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021★ 1 cited

Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition

Zhongyuan Lyu, Dong Xia, Yuan Zhang

We introduce a unified framework, formulated as general latent space models, to study complex higher-order network interactions among multiple entities. Our framework covers severa…

math.ST2020★ 2 cited

Edgeworth expansions for network moments

Yuan Zhang, Dong Xia

Network method of moments arXiv:1202.5101 is an important tool for nonparametric network inference. However, there has been little investigation on accurate descriptions of the sam…

stat.ML2018★ 3 cited

Consistent polynomial-time unseeded graph matching for Lipschitz graphons

Yuan Zhang

We propose a consistent polynomial-time method for the unseeded node matching problem for networks with smooth underlying structures. Despite widely conjectured by the research com…

stat.ME2018★ 5 cited

Unseeded low-rank graph matching by transform-based unsupervised point registration

Yuan Zhang

The problem of learning a correspondence relationship between nodes of two networks has drawn much attention of the computer science community and recently that of statisticians. T…

stat.ML2015★ 12 cited

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…

stat.ML2015★ 21 cited

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…

stat.ML2014★ 44 cited

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…