Gesine Reinert

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 49

Top Topics

Signed Distance

Top Venues

J. Complex Networks

Publications

Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR (2024)
Stephanie Armbruster, Gesine Reinert
Network-based time series modeling for COVID-19 incidence in the Republic of Ireland. Appl. Netw. Sci. 9 (1) (2024)
Gesine Reinert, Wenkai Xu
SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR (2024)
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
Robust Angular Synchronization via Directed Graph Neural Networks. ICLR (2024)
Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders. CoRR (2024)
Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
Split Conformal Prediction under Data Contamination. CoRR (2024)
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
Robust Angular Synchronization via Directed Graph Neural Networks. CoRR (2023)
Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG (2023)
Anastasia Mantziou, Mihai Cucuringu, Victor Meirinhos, Gesine Reinert
The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights. J. Complex Networks 11 (6) (2023)
Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. COMPLEX NETWORKS (1) (2023)
Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. CoRR (2023)
James Cooper, Peter Mitic, Gesine Reinert, Tadas Temcinas
Topological Analysis of Credit Data: Preliminary Findings. IDEAL (2022)
Javier Pardo-Diaz, Philip S. Poole, Mariano Beguerisse-Díaz, Charlotte M. Deane, Gesine Reinert
Generating weighted and thresholded gene coexpression networks using signed distance correlation. Netw. Sci. 10 (2) (2022)
James B. Wilsenach, Catherine E. Warnaby, Charlotte M. Deane, Gesine Reinert
Ranking of communities in multiplex spatiotemporal models of brain dynamics. Appl. Netw. Sci. 7 (1) (2022)
Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG (2022)
Wenkai Xu, Gesine Reinert
A Kernelised Stein Statistic for Assessing Implicit Generative Models. CoRR (2022)
Javier Pardo-Diaz, Mariano Beguerisse-Díaz, Philip S. Poole, Charlotte M. Deane, Gesine Reinert
. J. Comput. Biol. 29 (7) (2022)
Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. Mach. Learn. 111 (12) (2022)
Yixuan He, Michael Permultter, Gesine Reinert, Mihai Cucuringu
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR (2022)
Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG (2022)
Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. CoRR (2022)
Yixuan He, Gesine Reinert, Mihai Cucuringu
DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG (2022)
Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR (2022)
Wenkai Xu, Gesine Reinert
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. CoRR (2022)
Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
SSSNET: Semi-Supervised Signed Network Clustering. SDM (2022)
Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. CoRR (2022)
Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. CoRR (2022)
Moritz Weckbecker, Wenkai Xu, Gesine Reinert
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics. CoRR (2022)
Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
SSSNET: Semi-Supervised Signed Network Clustering. CoRR (2021)
Andrew D. Barbour, Gesine Reinert
Estimating the correlation in network disturbance models. J. Complex Networks 9 (5) (2021)
Yixuan He, Gesine Reinert, Mihai Cucuringu
DIGRAC: Digraph Clustering with Flow Imbalance. CoRR (2021)
Javier Pardo-Diaz, Lyuba V. Bozhilova, Mariano Beguerisse-Díaz, Philip S. Poole, Charlotte M. Deane, Gesine Reinert
Robust gene coexpression networks using signed distance correlation. Bioinform. 37 (14) (2021)
Lyuba V. Bozhilova, Javier Pardo-Diaz, Gesine Reinert, Charlotte M. Deane
COGENT: evaluating the consistency of gene co-expression networks. Bioinform. 37 (13) (2021)
Wenkai Xu, Gesine Reinert
A Stein Goodness-of-test for Exponential Random Graph Models. AISTATS (2021)
Florian Klimm, Charlotte M. Deane, Gesine Reinert
Hypergraphs for predicting essential genes using multiprotein complex data. J. Complex Networks 9 (2) (2021)
Gesine Reinert, C. Yang
A bound on the rate of convergence in the central limit theorem for renewal processes under second moment conditions. J. Appl. Probab. 57 (1) (2020)
Lyuba V. Bozhilova, Alan Whitmore, Jonny Wray, Gesine Reinert, Charlotte M. Deane
Measuring rank robustness in scored protein interaction networks. BMC Bioinform. 20 (1) (2019)
Luis Ospina-Forero, Charlotte M. Deane, Gesine Reinert
Assessment of model fit via network comparison methods based on subgraph counts. J. Complex Networks 7 (2) (2019)
Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert
Anomaly Detection in Networks with Application to Financial Transaction Networks. CoRR (2019)
Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu
Core-Periphery Structure in Directed Networks. CoRR (2019)
Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt, Charlotte M. Deane, Gesine Reinert
Identifying networks with common organizational principles. J. Complex Networks 6 (6) (2018)
Xiaochuan Xu, Gesine Reinert
Triad-Based Comparison and Signatures of Directed Networks. COMPLEX NETWORKS (1) (2018)
Malte Lücken, M. J. T. Page, A. J. Crosby, S. Mason, Gesine Reinert, Charlotte M. Deane
CommWalker: correctly evaluating modules in molecular networks in light of annotation bias. Bioinform. 34 (6) (2018)
Andrew Elliott, Elizabeth Leicht, Alan Whitmore, Gesine Reinert, Felix Reed-Tsochas
A nonparametric significance test for sampled networks. Bioinform. 34 (1) (2018)
Maria A. Riolo, George T. Cantwell, Gesine Reinert, Mark E. J. Newman
Efficient method for estimating the number of communities in a network. CoRR (2017)
Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt, Charlotte M. Deane, Gesine Reinert
Identifying networks with common organizational principles. CoRR (2017)
Oliver Kley, Claudia Klüppelberg, Gesine Reinert
Risk in a Large Claims Insurance Market with Bipartite Graph Structure. Oper. Res. 64 (5) (2016)
Jie Ren, Kai Song, Minghua Deng, Gesine Reinert, Charles H. Cannon, Fengzhu Sun
Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics. Bioinform. 32 (7) (2016)
M. E. J. Newman, Gesine Reinert
Estimating the number of communities in a network. CoRR (2016)
Kai Song, Jie Ren, Gesine Reinert, Minghua Deng, Michael S. Waterman, Fengzhu Sun
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing. Briefings Bioinform. 15 (3) (2014)
Waqar Ali, Tiago Rito, Gesine Reinert, Fengzhu Sun, Charlotte M. Deane
Alignment-free protein interaction network comparison. Bioinform. 30 (17) (2014)
Jie Ren, Kai Song, Fengzhu Sun, Minghua Deng, Gesine Reinert
Multiple alignment-free sequence comparison. Bioinform. 29 (21) (2013)
Larry Goldstein, Gesine Reinert
Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn. J. Appl. Probab. 50 (4) (2013)
Tiago Rito, Charlotte M. Deane, Gesine Reinert
The Importance of Age and High Degree, in Protein-Protein Interaction Networks. J. Comput. Biol. 19 (6) (2012)
Zhiyuan Zhai, Gesine Reinert, Kai Song, Michael S. Waterman, Yihui Luan, Fengzhu Sun
Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads. J. Comput. Biol. 19 (6) (2012)
Andrew D. Barbour, Gesine Reinert
Asymptotic behaviour of gossip processes and small world networks CoRR (2012)
Andrew D. Barbour, Gesine Reinert
The shortest distance in random multi-type intersection graphs. Random Struct. Algorithms 39 (2) (2011)
Zhiyuan Zhai, Shih-Yen Ku, Yihui Luan, Gesine Reinert, Michael S. Waterman, Fengzhu Sun
The Power of Detecting Enriched Patterns: An HMM Approach. J. Comput. Biol. 17 (4) (2010)
Tiago Rito, Zi Wang, Charlotte M. Deane, Gesine Reinert
How threshold behaviour affects the use of subgraphs for network comparison. Bioinform. 26 (18) (2010)
Lin Wan, Gesine Reinert, Fengzhu Sun, Michael S. Waterman
Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics. J. Comput. Biol. 17 (11) (2010)
Rebecca Hamer, Pao-Yang Chen, Judith P. Armitage, Gesine Reinert, Charlotte M. Deane
Deciphering chemotaxis pathways using cross species comparisons. BMC Syst. Biol. 4 (2010)
Gesine Reinert, David Chew, Fengzhu Sun, Michael S. Waterman
Alignment-Free Sequence Comparison (I): Statistics and Power. J. Comput. Biol. 16 (12) (2009)
Pao-Yang Chen, Charlotte M. Deane, Gesine Reinert
Predicting and Validating Protein Interactions Using Network Structure. PLoS Comput. Biol. 4 (7) (2008)
Gesine Reinert, Michael S. Waterman
On the Length of the Longest Exact Position Match in a Random Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (1) (2007)
Pao-Yang Chen, Charlotte M. Deane, Gesine Reinert
A statistical approach using network structure in the prediction of protein characteristics. Bioinform. 23 (17) (2007)
Andrew D. Barbour, Gesine Reinert
Correction: Small worlds. Random Struct. Algorithms 25 (1) (2004)
Andrew D. Barbour, Gesine Reinert
Small worlds. Random Struct. Algorithms 19 (1) (2001)
Gesine Reinert, Sophie Schbath, Michael S. Waterman
Probabilistic and Statistical Properties of Words: An Overview. J. Comput. Biol. 7 (1-2) (2000)
Gesine Reinert, Sophie Schbath
Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains. J. Comput. Biol. 5 (2) (1998)
Gesine Reinert
Couplings for normal approximations with Stein's method. Microsurveys in Discrete Probability (1997)
Richard Arratia, Daniela Martin, Gesine Reinert, Michael S. Waterman
Poisson Process Approximation for Sequence Repeats and Sequencing by Hybridization. J. Comput. Biol. 3 (3) (1996)
Richard Arratia, Gesine Reinert
Poisson Process Approximation for Repeats in One Sequence and Its Application to Sequencing by Hybridization. CPM (1996)