Gesine Reinert

88 papers A* 3A 3B 1C 1Journal 71Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality. CoRR Eng-Jon Ong, Omer Bobrowski, Gesine Reinert, Primoz Skraba
2026	J	`jnl`	TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators. CoRR Michal Kozyra, Gesine Reinert
2025	J	`jnl`	A Bayesian mixture model for Poisson network autoregression. Soc. Netw. Anal. Min. Elly Hung, Anastasia Mantziou, Gesine Reinert
2025	J	`jnl`	A Kernelised Stein Discrepancy for Assessing the Fit of Inhomogeneous Random Graph Models. CoRR Anum Fatima, Gesine Reinert
2025	J	`jnl`	FraudTransformer: Time-Aware GPT for Transaction Fraud Detection. CoRR Gholamali Aminian, Andrew Elliott, Tiger Li, Timothy Cheuk Hin Wong, Victor Claude Dehon, Lukasz Szpruch, Carsten Maple, Christopher Read, Martin Brown, Gesine Reinert, Mo Mamouei
2025	A*	`conf`	Generalization and Robustness of the Tilted Empirical Risk. ICML Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
2025	—	`conf`	Individualised Counterfactual Examples Using Conformal Prediction Intervals. COPA James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott
2025	J	`jnl`	Individualised Counterfactual Examples Using Conformal Prediction Intervals. CoRR James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott
2025	J	`jnl`	Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions. CoRR Yixuan He, Aaron Sandel, David Wipf, Mihai Cucuringu, John Mitani, Gesine Reinert
2025	J	`jnl`	Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance. CoRR Leoni Carla Wirth, Gholamali Aminian, Gesine Reinert
2024	A*	`conf`	Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of the Tilted Empirical Risk. CoRR Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
2024	J	`jnl`	L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders. CoRR Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
2024	J	`jnl`	Multivariate central limit theorems for random clique complexes. J. Appl. Comput. Topol. Tadas Temcinas, Vidit Nanda, Gesine Reinert
2024	J	`jnl`	Network-based time series modeling for COVID-19 incidence in the Republic of Ireland. Appl. Netw. Sci. Stephanie Armbruster, Gesine Reinert
2024	A*	`conf`	Robust Angular Synchronization via Directed Graph Neural Networks. ICLR Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
2024	A	`conf`	SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. ECAI Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott
2024	J	`jnl`	Simulating Weak Attacks in a New Duplication-Divergence Model with Node Loss. Entropy Ruihua Zhang, Gesine Reinert
2024	—	`conf`	Split Conformal Prediction under Data Contamination. COPA Jason Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
2024	J	`jnl`	Split Conformal Prediction under Data Contamination. CoRR Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
2024	J	`jnl`	SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR Gesine Reinert, Wenkai Xu
2023	—	`conf`	L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. COMPLEX NETWORKS (1) Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
2023	—	`conf`	PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
2023	J	`jnl`	Robust Angular Synchronization via Directed Graph Neural Networks. CoRR Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
2023	J	`jnl`	SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. CoRR Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott
2023	J	`jnl`	The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights. J. Complex Networks Anastasia Mantziou, Mihai Cucuringu, Victor Meirinhos, Gesine Reinert
2022	J	`jnl`	A Kernelised Stein Statistic for Assessing Implicit Generative Models. CoRR Wenkai Xu, Gesine Reinert
2022	J	`jnl`	AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. CoRR Wenkai Xu, Gesine Reinert
2022	—	`conf`	DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
2022	J	`jnl`	DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. CoRR Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
2022	—	`conf`	DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG Yixuan He, Gesine Reinert, Mihai Cucuringu
2022	J	`jnl`	Extracting Information from Gene Coexpression Networks of J. Comput. Biol. Javier Pardo-Diaz, Mariano Beguerisse-Díaz, Philip S. Poole, Charlotte M. Deane, Gesine Reinert
2022	J	`jnl`	GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu
2022	J	`jnl`	Generating weighted and thresholded gene coexpression networks using signed distance correlation. Netw. Sci. Javier Pardo-Diaz, Philip S. Poole, Mariano Beguerisse-Díaz, Charlotte M. Deane, Gesine Reinert
2022	J	`jnl`	Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. CoRR Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
2022	J	`jnl`	Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. Mach. Learn. Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
2022	—	`conf`	MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
2022	J	`jnl`	MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
2022	J	`jnl`	On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics. CoRR Moritz Weckbecker, Wenkai Xu, Gesine Reinert
2022	J	`jnl`	PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. CoRR Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert
2022	J	`jnl`	Ranking of communities in multiplex spatiotemporal models of brain dynamics. Appl. Netw. Sci. James B. Wilsenach, Catherine E. Warnaby, Charlotte M. Deane, Gesine Reinert
2022	A	`conf`	SSSNET: Semi-Supervised Signed Network Clustering. SDM Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
2022	C	`conf`	Topological Analysis of Credit Data: Preliminary Findings. IDEAL James Cooper, Peter Mitic, Gesine Reinert, Tadas Temcinas
2021	A	`conf`	A Stein Goodness-of-test for Exponential Random Graph Models. AISTATS Wenkai Xu, Gesine Reinert
2021	J	`jnl`	COGENT: evaluating the consistency of gene co-expression networks. Bioinform. Lyuba V. Bozhilova, Javier Pardo-Diaz, Gesine Reinert, Charlotte M. Deane
2021	J	`jnl`	DIGRAC: Digraph Clustering with Flow Imbalance. CoRR Yixuan He, Gesine Reinert, Mihai Cucuringu
2021	J	`jnl`	Estimating the correlation in network disturbance models. J. Complex Networks Andrew D. Barbour, Gesine Reinert
2021	J	`jnl`	Hypergraphs for predicting essential genes using multiprotein complex data. J. Complex Networks Florian Klimm, Charlotte M. Deane, Gesine Reinert
2021	J	`jnl`	Robust gene coexpression networks using signed distance correlation. Bioinform. Javier Pardo-Diaz, Lyuba V. Bozhilova, Mariano Beguerisse-Díaz, Philip S. Poole, Charlotte M. Deane, Gesine Reinert
2021	J	`jnl`	SSSNET: Semi-Supervised Signed Network Clustering. CoRR Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
2020	J	`jnl`	A bound on the rate of convergence in the central limit theorem for renewal processes under second moment conditions. J. Appl. Probab. Gesine Reinert, Ce Yang
2019	J	`jnl`	Anomaly Detection in Networks with Application to Financial Transaction Networks. CoRR Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert
2019	J	`jnl`	Assessment of model fit via network comparison methods based on subgraph counts. J. Complex Networks Luis Ospina-Forero, Charlotte M. Deane, Gesine Reinert
2019	J	`jnl`	Core-Periphery Structure in Directed Networks. CoRR Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu
2019	J	`jnl`	Measuring rank robustness in scored protein interaction networks. BMC Bioinform. Lyuba V. Bozhilova, Alan Whitmore, Jonny Wray, Gesine Reinert, Charlotte M. Deane
2018	J	`jnl`	A nonparametric significance test for sampled networks. Bioinform. Andrew Elliott, Elizabeth Leicht, Alan Whitmore, Gesine Reinert, Felix Reed-Tsochas
2018	J	`jnl`	CommWalker: correctly evaluating modules in molecular networks in light of annotation bias. Bioinform. Malte Lücken, M. J. T. Page, A. J. Crosby, S. Mason, Gesine Reinert, Charlotte M. Deane
2018	J	`jnl`	Identifying networks with common organizational principles. J. Complex Networks Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt, Charlotte M. Deane, Gesine Reinert
2018	—	`conf`	Triad-Based Comparison and Signatures of Directed Networks. COMPLEX NETWORKS (1) Xiaochuan Xu, Gesine Reinert
2017	J	`jnl`	Efficient method for estimating the number of communities in a network. CoRR Maria A. Riolo, George T. Cantwell, Gesine Reinert, Mark E. J. Newman
2017	J	`jnl`	Identifying networks with common organizational principles. CoRR Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt, Charlotte M. Deane, Gesine Reinert
2016	J	`jnl`	Estimating the number of communities in a network. CoRR M. E. J. Newman, Gesine Reinert
2016	J	`jnl`	Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics. Bioinform. Jie Ren, Kai Song, Minghua Deng, Gesine Reinert, Charles H. Cannon, Fengzhu Sun
2016	J	`jnl`	Risk in a Large Claims Insurance Market with Bipartite Graph Structure. Oper. Res. Oliver Kley, Claudia Klüppelberg, Gesine Reinert
2014	J	`jnl`	Alignment-free protein interaction network comparison. Bioinform. Waqar Ali, Tiago Rito, Gesine Reinert, Fengzhu Sun, Charlotte M. Deane
2014	J	`jnl`	New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing. Briefings Bioinform. Kai Song, Jie Ren, Gesine Reinert, Minghua Deng, Michael S. Waterman, Fengzhu Sun
2013	J	`jnl`	Multiple alignment-free sequence comparison. Bioinform. Jie Ren, Kai Song, Fengzhu Sun, Minghua Deng, Gesine Reinert
2013	J	`jnl`	Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn. J. Appl. Probab. Larry Goldstein, Gesine Reinert
2012	J	`jnl`	Asymptotic behaviour of gossip processes and small world networks CoRR Andrew D. Barbour, Gesine Reinert
2012	J	`jnl`	Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads. J. Comput. Biol. Zhiyuan Zhai, Gesine Reinert, Kai Song, Michael S. Waterman, Yihui Luan, Fengzhu Sun
2012	J	`jnl`	The Importance of Age and High Degree, in Protein-Protein Interaction Networks. J. Comput. Biol. Tiago Rito, Charlotte M. Deane, Gesine Reinert
2011	J	`jnl`	The shortest distance in random multi-type intersection graphs. Random Struct. Algorithms Andrew D. Barbour, Gesine Reinert
2010	J	`jnl`	Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics. J. Comput. Biol. Lin Wan, Gesine Reinert, Fengzhu Sun, Michael S. Waterman
2010	J	`jnl`	Deciphering chemotaxis pathways using cross species comparisons. BMC Syst. Biol. Rebecca Hamer, Pao-Yang Chen, Judith P. Armitage, Gesine Reinert, Charlotte M. Deane
2010	J	`jnl`	How threshold behaviour affects the use of subgraphs for network comparison. Bioinform. Tiago Rito, Zi Wang, Charlotte M. Deane, Gesine Reinert
2010	J	`jnl`	The Power of Detecting Enriched Patterns: An HMM Approach. J. Comput. Biol. Zhiyuan Zhai, Shih-Yen Ku, Yihui Luan, Gesine Reinert, Michael S. Waterman, Fengzhu Sun
2009	J	`jnl`	Alignment-Free Sequence Comparison (I): Statistics and Power. J. Comput. Biol. Gesine Reinert, David Chew, Fengzhu Sun, Michael S. Waterman
2008	J	`jnl`	Predicting and Validating Protein Interactions Using Network Structure. PLoS Comput. Biol. Pao-Yang Chen, Charlotte M. Deane, Gesine Reinert
2007	J	`jnl`	A statistical approach using network structure in the prediction of protein characteristics. Bioinform. Pao-Yang Chen, Charlotte M. Deane, Gesine Reinert
2007	J	`jnl`	On the Length of the Longest Exact Position Match in a Random Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. Gesine Reinert, Michael S. Waterman
2004	J	`jnl`	Correction: Small worlds. Random Struct. Algorithms Andrew D. Barbour, Gesine Reinert
2001	J	`jnl`	Small worlds. Random Struct. Algorithms Andrew D. Barbour, Gesine Reinert
2000	J	`jnl`	Probabilistic and Statistical Properties of Words: An Overview. J. Comput. Biol. Gesine Reinert, Sophie Schbath, Michael S. Waterman
1998	J	`jnl`	Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains. J. Comput. Biol. Gesine Reinert, Sophie Schbath
1997	—	`conf`	Couplings for normal approximations with Stein's method. Microsurveys in Discrete Probability Gesine Reinert
1996	B	`conf`	Poisson Process Approximation for Repeats in One Sequence and Its Application to Sequencing by Hybridization. CPM Richard Arratia, Gesine Reinert
1996	J	`jnl`	Poisson Process Approximation for Sequence Repeats and Sequencing by Hybridization. J. Comput. Biol. Richard Arratia, Daniela Martin, Gesine Reinert, Michael S. Waterman