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G. Reinert · SciRah

Researcher profile · Semantic Scholar

G. Reinert

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G. Reinert — researcher profile on SciRah

h-index: 37
Works: 153
Citations: 5,666

Most-cited papers

New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing
Kai Song, Jie Jessie Ren, G. Reinert, Minghua Deng +2 more
2014Briefings Bioinform.189 citations Open access
Semantic Scholar
Stein's method for comparison of univariate distributions
Christophe Ley, G. Reinert, Yves-Caoimhin Swan
2014165 citations Open access
Semantic Scholar
Estimating the number of communities in a network
M. Newman, G. Reinert
2016Physical Review Letters152 citations Open access
Semantic Scholar
Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics
Lin Wan, G. Reinert, Feng-Zhu Sun, M. Waterman
2010J. Comput. Biol.117 citations Open access
Semantic Scholar
Alignment-Free Sequence Analysis and Applications
Jie Ren, Xin Bai, Yang Young Lu, Ku-Jin Tang +3 more
2018Annual Review of Biomedical Data Science101 citations Open access
Semantic Scholar
Approximating the epidemic curve
A. Barbour, G. Reinert
201383 citations Open access
Semantic Scholar
Chi-square approximation by Stein's method with application to Pearson's statistic
Robert E. Gaunt, A. Pickett, G. Reinert
201581 citations Open access
Semantic Scholar
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou, A. Barp, François-Xavier Briol, B. Ebner +10 more
2021Statistical Science72 citations Open access
Semantic Scholar
Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn
L. Goldstein, G. Reinert
2013Journal of Applied Probability71 citations Open access
Semantic Scholar
Measuring rank robustness in scored protein interaction networks
L. Bozhilova, Alan Whitmore, J. Wray, G. Reinert +1 more
2018BMC Bioinformatics66 citations Open access
Semantic Scholar
Efficient method for estimating the number of communities in a network
M. Riolo, G. Cantwell, G. Reinert, M. Newman
2017Physical Review E65 citations Open access
Semantic Scholar
Alignment-free protein interaction network comparison
Waqar Ali, Tiago Rito, G. Reinert, Feng-Zhu Sun +1 more
2014Bioinform.62 citations Open access
Semantic Scholar
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
Yixuan He, Michael Perlmutter, G. Reinert, Mihai Cucuringu
2022LOG IN53 citations Open access
Semantic Scholar
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He, G. Reinert, Songchao Wang, Mihai Cucuringu
2021SDM45 citations Open access
Semantic Scholar
New Powerful Statistics for Alignment-free Sequence Comparison Under a Pattern Transfer Model
Xue-Mei Liu, Lin Wan, Jing Li, G. Reinert +2 more
2011Journal of Theoretical Biology45 citations Open access
Semantic Scholar
Core–periphery structure in directed networks
Andrew Elliott, Angus Chiu, Marya Bazzi, G. Reinert +1 more
2019Proceedings of the Royal Society A44 citations Open access
Semantic Scholar
Hypergraphs for predicting essential genes using multiprotein complex data
F. Klimm, Charlotte M. Deane, G. Reinert
2020bioRxiv42 citations Open access
Semantic Scholar
Lead–lag detection and network clustering for multivariate time series with an application to the US equity market
Stefanos Bennett, Mihai Cucuringu, G. Reinert
2022Machine-mediated learning40 citations Open access
Semantic Scholar
Distances between nested densities and a measure of the impact of the prior in Bayesian statistics
Christophe Ley, G. Reinert, Yves-Caoimhin Swan
201539 citations Open access
Semantic Scholar
Risk in a Large Claims Insurance Market with Bipartite Graph Structure
Oliver Kley, C. Klüppelberg, G. Reinert
2014Operational Research39 citations Open access
Semantic Scholar
Approximating stationary distributions of fast mixing Glauber dynamics, with applications to exponential random graphs
G. Reinert, Nathan Ross
2017The Annals of Applied Probability38 citations Open access
Semantic Scholar
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
Yixuan He, Xi-Tong Zhang, Junjie Huang, Benedek Rozemberczki +2 more
2022LOG IN37 citations
Semantic Scholar
Anomaly Detection in Networks with Application to Financial Transaction Networks
Andrew Elliott, Mihai Cucuringu, M. M. Luaces, P. Reidy +1 more
2019arXiv.org35 citations
Semantic Scholar
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Yixuan He, Quan Gan, D. Wipf, G. Reinert +2 more
2022International Conference on Machine Learning34 citations
Semantic Scholar
Stein’s Method Meets Statistics: A Review of Some Recent Developments
Andreas Anastasiou, A. Barp, François‐Xavier Briol, B. Ebner +11 more
202134 citations
Semantic Scholar
Approximate Computation of Expectations: the Canonical Stein Operator
Christophe Ley, G. Reinert, Yves-Caoimhin Swan
201430 citations
Semantic Scholar
How threshold behaviour affects the use of subgraphs for network comparison
Tiago Rito, Zi Wang, Charlotte M. Deane, G. Reinert
2010Bioinform.30 citations Open access
Semantic Scholar
First-order covariance inequalities via Stein’s method
Marie Ernst, G. Reinert, Y. Swan
2019Bernoulli28 citations Open access
Semantic Scholar
Random subgraph counts and U-statistics: multivariate normal approximation via exchangeable pairs and embedding
G. Reinert, A. Röllin
2010Journal of Applied Probability28 citations
Semantic Scholar
Identifying networks with common organizational principles
Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt, Charlotte M. Deane +1 more
2017J. Complex Networks27 citations Open access
Semantic Scholar
Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics
Jie Jessie Ren, Kai Song, Minghua Deng, G. Reinert +2 more
2015Bioinform.27 citations Open access
Semantic Scholar
Stein's method for the Beta distribution and the P\'olya-Eggenberger Urn
L. Goldstein, G. Reinert
201227 citations
Semantic Scholar
Robust gene coexpression networks using signed distance correlation
Javier Pardo-diaz, L. Bozhilova, M. Beguerisse-Díaz, P. Poole +2 more
2020bioRxiv25 citations Open access
Semantic Scholar
Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks
F. Klimm, Enrique M. Toledo, Thomas Monfeuga, Fang Zhang +2 more
2019BMC Genomics21 citations Open access
Semantic Scholar
Conditional risk measures in a bipartite market structure
Oliver Kley, C. Klüppelberg, G. Reinert
201521 citations Open access
Semantic Scholar
DIGRAC: Digraph Clustering Based on Flow Imbalance
Yixuan He, G. Reinert, Mihai Cucuringu
2021LOG IN20 citations
Semantic Scholar
Poisson approximation of subgraph counts in stochastic block models and a graphon model
Matthew Coulson, Robert E. Gaunt, G. Reinert
201520 citations Open access
Semantic Scholar
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation
Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, C. Maple +2 more
2023arXiv.org19 citations Open access
Semantic Scholar
Bounds for the asymptotic distribution of the likelihood ratio
Andreas Anastasiou, G. Reinert
2018The Annals of Applied Probability19 citations Open access
Semantic Scholar
Stein operators, kernels and discrepancies for multivariate continuous distributions
G. Mijoule, G. Reinert, Y. Swan
201819 citations
Semantic Scholar
Comparison of large networks with sub-sampling strategies
Waqar Ali, Anatol E. Wegner, Robert E. Gaunt, Charlotte M. Deane +1 more
2016Scientific Reports18 citations Open access
Semantic Scholar
A Stein Goodness-of-test for Exponential Random Graph Models
Wenkai Xu, G. Reinert
2021International Conference on Artificial Intelligence and Statistics17 citations
Semantic Scholar
The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights
A. Mantziou, Mihai Cucuringu, Victor Meirinhos, G. Reinert
2023J. Complex Networks15 citations Open access
Semantic Scholar
Split Conformal Prediction under Data Contamination
J. Clarkson, Wenkai Xu, Mihai Cucuringu, Y. Swan +1 more
2024International Symposium on Conformal and Probabilistic Prediction with Applications14 citations
Semantic Scholar
Relaxing the Gaussian assumption in shrinkage and SURE in high dimension
M. Fathi, L. Goldstein, G. Reinert, Adrien Saumard
2020Annals of Statistics13 citations Open access
Semantic Scholar
Bounds for the normal approximation of the maximum likelihood estimator
Andreas Anastasiou, G. Reinert
201413 citations Open access
Semantic Scholar
Multiple alignment-free sequence comparison
Jie Jessie Ren, Kai Song, Feng-Zhu Sun, Minghua Deng +1 more
2013Bioinform.13 citations Open access
Semantic Scholar
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs
Yixuan He, Xi-Tong Zhang, Junjie Huang, Mihai Cucuringu +1 more
2022arXiv.org12 citations
Semantic Scholar
Asymptotic Behaviour of Gossip Processes and Small-World Networks
A. Barbour, G. Reinert
2012Advances in Applied Probability12 citations Open access
Semantic Scholar
The Importance of Age and High Degree, in Protein-Protein Interaction Networks
Tiago Rito, Charlotte M. Deane, G. Reinert
2012J. Comput. Biol.12 citations
Semantic Scholar

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