Gesine Reinert

CoRR, 2024

Generalization Error of Graph Neural Networks in the Mean-field Regime.

[BibT_eX]

[DOI]

CoRR, 2024

2023

The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights.

[BibT_eX]

[DOI]

J. Complex Networks, November, 2023

Robust Angular Synchronization via Directed Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation.

[BibT_eX]

[DOI]

CoRR, 2023

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Generating weighted and thresholded gene coexpression networks using signed distance correlation.

[BibT_eX]

[DOI]

Javier Pardo-Diaz

Philip S. Poole

Mariano Beguerisse-Díaz

Netw. Sci., 2022

Lead-lag detection and network clustering for multivariate time series with an application to the US equity market.

[BibT_eX]

[DOI]

Stefanos Bennett

Mach. Learn., 2022

Extracting Information from Gene Coexpression Networks of <i>Rhizobium leguminosarum</i>.

[BibT_eX]

[DOI]

Javier Pardo-Diaz

Mariano Beguerisse-Díaz

Philip S. Poole

J. Comput. Biol., 2022

On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics.

[BibT_eX]

[DOI]

Moritz Weckbecker

CoRR, 2022

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Ranking of communities in multiplex spatiotemporal models of brain dynamics.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2022

SSSNET: Semi-Supervised Signed Network Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators.

[BibT_eX]

[DOI]

Gesine D. Reinert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Kernelised Stein Statistic for Assessing Implicit Generative Models.

[BibT_eX]

[DOI]

Gesine D. Reinert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DIGRAC: Digraph Clustering Based on Flow Imbalance.

[BibT_eX]

[DOI]

Yixuan He

Proceedings of the Learning on Graphs Conference, 2022

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Topological Analysis of Credit Data: Preliminary Findings.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

DIGRAC: Digraph Clustering with Flow Imbalance.

[BibT_eX]

[DOI]

Yixuan He

CoRR, 2021

Hypergraphs for predicting essential genes using multiprotein complex data.

[BibT_eX]

[DOI]

Florian Klimm

J. Complex Networks, 2021

Estimating the correlation in network disturbance models.

[BibT_eX]

[DOI]

J. Complex Networks, 2021

Robust gene coexpression networks using signed distance correlation.

[BibT_eX]

[DOI]

Javier Pardo-Diaz

Lyuba V. Bozhilova

Mariano Beguerisse-Díaz

Philip S. Poole

Bioinform., 2021

COGENT: evaluating the consistency of gene co-expression networks.

[BibT_eX]

[DOI]

Bioinform., 2021

A Stein Goodness-of-test for Exponential Random Graph Models.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A bound on the rate of convergence in the central limit theorem for renewal processes under second moment conditions.

[BibT_eX]

[DOI]

Ce Yang

J. Appl. Probab., 2020

2019

Core-Periphery Structure in Directed Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Anomaly Detection in Networks with Application to Financial Transaction Networks.

[BibT_eX]

[DOI]

Andrew Elliott

Milton Martinez Luaces

Paul Reidy

CoRR, 2019

Assessment of model fit via network comparison methods based on subgraph counts.

[BibT_eX]

[DOI]

Luis Ospina-Forero

J. Complex Networks, 2019

Measuring rank robustness in scored protein interaction networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

2018

Identifying networks with common organizational principles.

[BibT_eX]

[DOI]

J. Complex Networks, 2018

CommWalker: correctly evaluating modules in molecular networks in light of annotation bias.

[BibT_eX]

[DOI]

Bioinform., 2018

A nonparametric significance test for sampled networks.

[BibT_eX]

[DOI]

Bioinform., 2018

Triad-Based Comparison and Signatures of Directed Networks.

[BibT_eX]

[DOI]

Xiaochuan Xu

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Efficient method for estimating the number of communities in a network.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Risk in a Large Claims Insurance Market with Bipartite Graph Structure.

[BibT_eX]

[DOI]

Oliver Kley

Claudia Klüppelberg

Oper. Res., 2016

Estimating the number of communities in a network.

[BibT_eX]

[DOI]

M. E. J. Newman

CoRR, 2016

Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.

[BibT_eX]

[DOI]

Bioinform., 2016

2014

Alignment-free protein interaction network comparison.

[BibT_eX]

[DOI]

Bioinform., 2014

New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing.

[BibT_eX]

[DOI]

Briefings Bioinform., 2014

2013

Stein's Method for the Beta Distribution and the Pólya-Eggenberger Urn.

[BibT_eX]

[DOI]

Larry Goldstein

J. Appl. Probab., 2013

Multiple alignment-free sequence comparison.

[BibT_eX]

[DOI]

Bioinform., 2013

2012

Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads.

[BibT_eX]

[DOI]

J. Comput. Biol., 2012

The Importance of Age and High Degree, in Protein-Protein Interaction Networks.

[BibT_eX]

[DOI]

Tiago Rito

J. Comput. Biol., 2012

Asymptotic behaviour of gossip processes and small world networks

[BibT_eX]

[DOI]

CoRR, 2012

2011

The shortest distance in random multi-type intersection graphs.

[BibT_eX]

[DOI]

Random Struct. Algorithms, 2011

2010

The Power of Detecting Enriched Patterns: An HMM Approach.

[BibT_eX]

[DOI]

J. Comput. Biol., 2010

Alignment-Free Sequence Comparison (II): Theoretical Power of Comparison Statistics.

[BibT_eX]

[DOI]

J. Comput. Biol., 2010

Deciphering chemotaxis pathways using cross species comparisons.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2010

How threshold behaviour affects the use of subgraphs for network comparison.

[BibT_eX]

[DOI]

Bioinform., 2010

2009

Alignment-Free Sequence Comparison (I): Statistics and Power.

[BibT_eX]

[DOI]

J. Comput. Biol., 2009

2008

Predicting and Validating Protein Interactions Using Network Structure.

[BibT_eX]

[DOI]

Pao-Yang Chen

PLoS Comput. Biol., 2008

2007

On the Length of the Longest Exact Position Match in a Random Sequence.

[BibT_eX]

[DOI]

Michael S. Waterman

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

A statistical approach using network structure in the prediction of protein characteristics.

[BibT_eX]

[DOI]

Pao-Yang Chen

Bioinform., 2007

2004

Correction: Small worlds.

[BibT_eX]

[DOI]

Random Struct. Algorithms, 2004

2001

Small worlds.

[BibT_eX]

[DOI]

Random Struct. Algorithms, 2001

2000

Probabilistic and Statistical Properties of Words: An Overview.

[BibT_eX]

[DOI]

Sophie Schbath

Michael S. Waterman

J. Comput. Biol., 2000

1998

Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains.

[BibT_eX]

[DOI]

Sophie Schbath

J. Comput. Biol., 1998

1997

Couplings for normal approximations with Stein's method.

[BibT_eX]

[DOI]

Proceedings of the Microsurveys in Discrete Probability, 1997

1996

Poisson Process Approximation for Sequence Repeats and Sequencing by Hybridization.

[BibT_eX]

[DOI]

J. Comput. Biol., 1996

Poisson Process Approximation for Repeats in One Sequence and Its Application to Sequencing by Hybridization.

[BibT_eX]

[DOI]

Richard Arratia