Michael T. Schaub

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Mauricio BarahonaImperial College London, Applied Mathematics, Chair in BiomathematicsAdresă de e-mail confirmată pe imperial.ac.uk
Jean-Charles DelvenneProfessor of Applied Mathematics, Université catholique de LouvainAdresă de e-mail confirmată pe uclouvain.be
Renaud LambiotteProfessor of Networks and Nonlinear Systems, University of OxfordAdresă de e-mail confirmată pe maths.ox.ac.uk
Santiago SegarraAssociate Professor, Electrical and Computer Engineering, Rice UniversityAdresă de e-mail confirmată pe rice.edu
Ali JadbabaieJR East Professor of Engineering, MITAdresă de e-mail confirmată pe mit.edu
Austin R BensonAdresă de e-mail confirmată pe deshaw.com
Yazan BillehDirector of Data Science, StacklineAdresă de e-mail confirmată pe stackline.com
Sophia YalirakiProfessor of Theoretical Chemistry, Department of Chemistry, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Mustafa HajijAssistant Professor of Machine Learning, University of San FranciscoAdresă de e-mail confirmată pe usfca.edu
T. Mitchell RoddenberryPostdoctoral Researcher, Rice UniversityAdresă de e-mail confirmată pe rice.edu
Vladimir KiselevHead of Bioinformatics @ AlethiomicsAdresă de e-mail confirmată pe alethiomics.com
Kedar Nath NatarajanWellcome Trust Sanger Institute, European Bioinformatics InstituteAdresă de e-mail confirmată pe sanger.ac.uk
Tallulah Andrews, DPhilAssistant Professor, University of Western OntarioAdresă de e-mail confirmată pe sanger.ac.uk
Dr. Leonie NeuhäuserRWTH Aachen University, Computational Network ScienceAdresă de e-mail confirmată pe cs.rwth-aachen.de
Ghada ZamzmiFDA/CDRH/OSEL/DIDSRAdresă de e-mail confirmată pe mail.usf.edu
Theodore PapamarkouDistinguished professor, Zhejiang Normal UniversityAdresă de e-mail confirmată pe zjnu.edu.cn
Martin HembergBrigham and Women's HospitalAdresă de e-mail confirmată pe bwh.harvard.edu
Kristina KirschnerMayo Clinic Rochester, MN, USAAdresă de e-mail confirmată pe mayo.edu
Wolf ReikHead, Epigenetics Programme, Babraham Institute Cambridge, UKAdresă de e-mail confirmată pe babraham.ac.uk
Jon KleinbergProfessor of Computer Science, Cornell UniversityAdresă de e-mail confirmată pe cs.cornell.edu

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Michael T. Schaub

RWTH Aachen University

Adresă de e-mail confirmată pe mit.edu - Pagina de pornire

Networks Applied Dynamical Systems Neuroscience Data Science Graph Signal Processing


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
SC3: consensus clustering of single-cell RNA-Seq data VY Kiselev, K Kirschner, MT Schaub, T Andrews, A Yiu, T Chandra, ... Nature Methods 14 (5), 483-486, 2017	1451	2017
Simplicial closure and higher-order link prediction AR Benson, R Abebe, MT Schaub, A Jadbabaie, J Kleinberg Proceedings of the National Academy of Sciences 115 (48), E11221-E11230, 2018	560	2018
Random walks on simplicial complexes and the normalized Hodge 1-Laplacian MT Schaub, AR Benson, P Horn, G Lippner, A Jadbabaie SIAM Review 62 (2), 353-391, 2020	318	2020
What are higher-order networks? C Bick, E Gross, HA Harrington, MT Schaub SIAM review 65 (3), 686-731, 2023	280	2023
Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit MT Schaub, JC Delvenne, SN Yaliraki, M Barahona PloS one 7 (2), e32210, 2012	206	2012
The many facets of community detection in complex networks MT Schaub, JC Delvenne, M Rosvall, R Lambiotte Applied Network Science 2 (1), 4, 2017	202	2017
Graph partitions and cluster synchronization in networks of oscillators MT Schaub, N O'Clery, YN Billeh, JC Delvenne, R Lambiotte, M Barahona Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (9), 2016	183	2016
Signal processing on higher-order networks: Livin’on the edge... and beyond MT Schaub, Y Zhu, JB Seby, TM Roddenberry, S Segarra Signal Processing 187, 108149, 2021	164	2021
The stability of a graph partition: A dynamics-based framework for community detection JC Delvenne, MT Schaub, SN Yaliraki, M Barahona Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying …, 2013	105*	2013
Graph-based semi-supervised & active learning for edge flows J Jia, MT Schaub, S Segarra, AR Benson Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	100	2019
Centrality measures for graphons: Accounting for uncertainty in networks M Avella-Medina, F Parise, M Schaub, S Segarra IEEE Transactions on Network Science and Engineering, 2018	100	2018
Prediction of allosteric sites and mediating interactions through bond-to-bond propensities BRC Amor, MT Schaub, SN Yaliraki, M Barahona Nature Communications 7 (12477), 2016	93	2016
Encoding dynamics for multiscale community detection: Markov time sweeping for the map equation MT Schaub, R Lambiotte, M Barahona Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (2 …, 2012	91	2012
Flow smoothing and denoising: Graph signal processing in the edge-space MT Schaub, S Segarra 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018	90	2018
Using higher-order Markov models to reveal flow-based communities in networks V Salnikov, MT Schaub, R Lambiotte Scientific reports 6 (1), 23194, 2016	77	2016
Topological Deep Learning: Going Beyond Graph Data M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ... arXiv preprint arXiv:2206.00606v3, 2023	67*	2023
Different approaches to community detection M Rosvall, JC Delvenne, MT Schaub, R Lambiotte Advances in network clustering and blockmodeling, 105-119, 2019	67	2019
Mapping the cardiac vascular niche in heart failure F Peisker, M Halder, J Nagai, S Ziegler, N Kaesler, K Hoeft, R Li, ... Nature communications 13 (1), 3027, 2022	63	2022
Emergence of Slow-Switching Assemblies in Structured Neuronal Networks MT Schaub, YN Billeh, CA Anastassiou, C Koch, M Barahona PLoS Computational Biology 11 (7), e1004196, 2015	60	2015
Structure of complex networks: Quantifying edge-to-edge relations by failure-induced flow redistribution MT Schaub, J Lehmann, SN Yaliraki, M Barahona Network Science 2 (1), 66-89, 2014	60	2014

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