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Gesine Reinert
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2020 – today
- 2024
- [j38]Stephanie Armbruster, Gesine Reinert:
Network-based time series modeling for COVID-19 incidence in the Republic of Ireland. Appl. Netw. Sci. 9(1): 23 (2024) - [c16]Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu:
Robust Angular Synchronization via Directed Graph Neural Networks. ICLR 2024 - [c15]Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML 2024 - [i23]Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert:
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders. CoRR abs/2402.01614 (2024) - [i22]Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR abs/2402.07025 (2024) - [i21]Gesine Reinert, Wenkai Xu:
SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR abs/2403.18578 (2024) - [i20]Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert:
Split Conformal Prediction under Data Contamination. CoRR abs/2407.07700 (2024) - 2023
- [j37]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) - [c14]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: 400-412 - [c13]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: 12 - [i19]Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott:
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. CoRR abs/2306.16827 (2023) - [i18]Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu:
Robust Angular Synchronization via Directed Graph Neural Networks. CoRR abs/2310.05842 (2023) - 2022
- [j36]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): 15 (2022) - [j35]Javier Pardo-Diaz
, Mariano Beguerisse-Díaz, Philip S. Poole, Charlotte M. Deane, Gesine Reinert:
Extracting Information from Gene Coexpression Networks of Rhizobium leguminosarum. J. Comput. Biol. 29(7): 752-768 (2022) - [j34]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): 4497-4538 (2022) - [j33]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): 131-145 (2022) - [c12]Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML 2022: 8581-8612 - [c11]James Cooper
, Peter Mitic
, Gesine Reinert
, Tadas Temcinas
:
Topological Analysis of Credit Data: Preliminary Findings. IDEAL 2022: 432-442 - [c10]Yixuan He, Gesine Reinert, Mihai Cucuringu:
DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG 2022: 21 - [c9]Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert:
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG 2022: 23 - [c8]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG 2022: 40 - [c7]Wenkai Xu, Gesine D. Reinert:
A Kernelised Stein Statistic for Assessing Implicit Generative Models. NeurIPS 2022 - [c6]Wenkai Xu, Gesine D. Reinert:
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. NeurIPS 2022 - [c5]Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu:
SSSNET: Semi-Supervised Signed Network Clustering. SDM 2022: 244-252 - [i17]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 abs/2201.08283 (2022) - [i16]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 abs/2202.00211 (2022) - [i15]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 abs/2202.10793 (2022) - [i14]Wenkai Xu, Gesine Reinert:
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. CoRR abs/2203.03673 (2022) - [i13]James B. Wilsenach, Catherine E. Warnaby, Charlotte M. Deane, Gesine D. Reinert:
Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics. CoRR abs/2203.09281 (2022) - [i12]Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert:
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. CoRR abs/2203.15009 (2022) - [i11]Wenkai Xu, Gesine Reinert:
A Kernelised Stein Statistic for Assessing Implicit Generative Models. CoRR abs/2206.00149 (2022) - [i10]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR abs/2209.00546 (2022) - [i9]Moritz Weckbecker, Wenkai Xu, Gesine Reinert:
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics. CoRR abs/2210.05746 (2022) - 2021
- [j32]Lyuba V. Bozhilova
, Javier Pardo-Diaz
, Gesine Reinert, Charlotte M. Deane
:
COGENT: evaluating the consistency of gene co-expression networks. Bioinform. 37(13): 1928-1929 (2021) - [j31]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): 1982-1989 (2021) - [j30]Florian Klimm, Charlotte M. Deane, Gesine Reinert:
Hypergraphs for predicting essential genes using multiprotein complex data. J. Complex Networks 9(2) (2021) - [j29]Andrew D. Barbour, Gesine Reinert:
Estimating the correlation in network disturbance models. J. Complex Networks 9(5) (2021) - [c4]Wenkai Xu, Gesine Reinert:
A Stein Goodness-of-test for Exponential Random Graph Models. AISTATS 2021: 415-423 - [i8]Yixuan He, Gesine Reinert, Mihai Cucuringu:
DIGRAC: Digraph Clustering with Flow Imbalance. CoRR abs/2106.05194 (2021) - [i7]Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu:
SSSNET: Semi-Supervised Signed Network Clustering. CoRR abs/2110.06623 (2021) - 2020
- [j28]Gesine Reinert, Ce 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): 343-360 (2020)
2010 – 2019
- 2019
- [j27]Lyuba V. Bozhilova
, Alan Whitmore, Jonny Wray, Gesine Reinert, Charlotte M. Deane
:
Measuring rank robustness in scored protein interaction networks. BMC Bioinform. 20(1): 446:1-446:14 (2019) - [j26]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): 226-253 (2019) - [i6]Andrew Elliott
, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert:
Anomaly Detection in Networks with Application to Financial Transaction Networks. CoRR abs/1901.00402 (2019) - [i5]Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu:
Core-Periphery Structure in Directed Networks. CoRR abs/1912.00984 (2019) - 2018
- [j25]Andrew Elliott
, Elizabeth Leicht, Alan Whitmore, Gesine Reinert
, Felix Reed-Tsochas:
A nonparametric significance test for sampled networks. Bioinform. 34(1): 64-71 (2018) - [j24]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): 994-1000 (2018) - [j23]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): 887-913 (2018) - [c3]Xiaochuan Xu, Gesine Reinert:
Triad-Based Comparison and Signatures of Directed Networks. COMPLEX NETWORKS (1) 2018: 590-602 - 2017
- [i4]Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt, Charlotte M. Deane, Gesine Reinert:
Identifying networks with common organizational principles. CoRR abs/1704.00387 (2017) - [i3]Maria A. Riolo, George T. Cantwell, Gesine Reinert, Mark E. J. Newman:
Efficient method for estimating the number of communities in a network. CoRR abs/1706.02324 (2017) - 2016
- [j22]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): 993-1000 (2016) - [j21]Oliver Kley, Claudia Klüppelberg
, Gesine Reinert
:
Risk in a Large Claims Insurance Market with Bipartite Graph Structure. Oper. Res. 64(5): 1159-1176 (2016) - [i2]M. E. J. Newman, Gesine Reinert:
Estimating the number of communities in a network. CoRR abs/1605.02753 (2016) - 2014
- [j20]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): 343-353 (2014) - [j19]Waqar Ali, Tiago Rito
, Gesine Reinert
, Fengzhu Sun, Charlotte M. Deane
:
Alignment-free protein interaction network comparison. Bioinform. 30(17): 430-437 (2014) - 2013
- [j18]Jie Ren, Kai Song, Fengzhu Sun, Minghua Deng, Gesine Reinert
:
Multiple alignment-free sequence comparison. Bioinform. 29(21): 2690-2698 (2013) - [j17]Larry Goldstein, Gesine Reinert
:
Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn. J. Appl. Probab. 50(4): 1187-1205 (2013) - 2012
- [j16]Tiago Rito
, Charlotte M. Deane
, Gesine Reinert
:
The Importance of Age and High Degree, in Protein-Protein Interaction Networks. J. Comput. Biol. 19(6): 785-795 (2012) - [j15]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): 839-854 (2012) - [i1]Andrew D. Barbour, Gesine Reinert:
Asymptotic behaviour of gossip processes and small world networks. CoRR abs/1202.5895 (2012) - 2011
- [j14]Andrew D. Barbour, Gesine Reinert:
The shortest distance in random multi-type intersection graphs. Random Struct. Algorithms 39(2): 179-209 (2011) - 2010
- [j13]Tiago Rito
, Zi Wang, Charlotte M. Deane
, Gesine Reinert
:
How threshold behaviour affects the use of subgraphs for network comparison. Bioinform. 26(18) (2010) - [j12]Rebecca Hamer, Pao-Yang Chen
, Judith P. Armitage, Gesine Reinert
, Charlotte M. Deane
:
Deciphering chemotaxis pathways using cross species comparisons. BMC Syst. Biol. 4: 3 (2010) - [j11]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): 581-592 (2010) - [j10]Lin Wan, Gesine Reinert
, Fengzhu Sun, Michael S. Waterman:
Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics. J. Comput. Biol. 17(11): 1467-1490 (2010)
2000 – 2009
- 2009
- [j9]Gesine Reinert
, David Chew, Fengzhu Sun, Michael S. Waterman:
Alignment-Free Sequence Comparison (I): Statistics and Power. J. Comput. Biol. 16(12): 1615-1634 (2009) - 2008
- [j8]Pao-Yang Chen
, Charlotte M. Deane
, Gesine Reinert
:
Predicting and Validating Protein Interactions Using Network Structure. PLoS Comput. Biol. 4(7) (2008) - 2007
- [j7]Pao-Yang Chen
, Charlotte M. Deane
, Gesine Reinert:
A statistical approach using network structure in the prediction of protein characteristics. Bioinform. 23(17): 2314-2321 (2007) - [j6]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): 153-156 (2007) - 2004
- [j5]Andrew D. Barbour, Gesine Reinert
:
Correction: Small worlds. Random Struct. Algorithms 25(1): 115 (2004) - 2001
- [j4]Andrew D. Barbour, Gesine Reinert:
Small worlds. Random Struct. Algorithms 19(1): 54-74 (2001) - 2000
- [j3]Gesine Reinert, Sophie Schbath
, Michael S. Waterman:
Probabilistic and Statistical Properties of Words: An Overview. J. Comput. Biol. 7(1-2): 1-46 (2000)
1990 – 1999
- 1998
- [j2]Gesine Reinert
, Sophie Schbath
:
Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains. J. Comput. Biol. 5(2): 223-253 (1998) - 1997
- [c2]Gesine Reinert
:
Couplings for normal approximations with Stein's method. Microsurveys in Discrete Probability 1997: 193-207 - 1996
- [j1]Richard Arratia, Daniela Martin, Gesine Reinert
, Michael S. Waterman:
Poisson Process Approximation for Sequence Repeats and Sequencing by Hybridization. J. Comput. Biol. 3(3): 425-463 (1996) - [c1]Richard Arratia, Gesine Reinert
:
Poisson Process Approximation for Repeats in One Sequence and Its Application to Sequencing by Hybridization. CPM 1996: 209-219
Coauthor Index
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last updated on 2024-09-05 23:40 CEST by the dblp team
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