default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGesine Reinert
Gesine D. Reinert
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j39]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)- [j38]Tadas Temcinas, Vidit Nanda, Gesine Reinert:
Multivariate central limit theorems for random clique complexes. J. Appl. Comput. Topol. 8(6): 1837-1880 (2024) - [c17]Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott:
SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. ECAI 2024: 2950-2957 - [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 - [i24]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) - [i23]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) - [i22]Gesine Reinert, Wenkai Xu:
SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR abs/2403.18578 (2024) - [i21]Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert:
Split Conformal Prediction under Data Contamination. CoRR abs/2407.07700 (2024) - [i20]Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen:
Generalization Error of the Tilted Empirical Risk. CoRR abs/2409.19431 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
