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Michael T. Schaub
Michael T. Schaub
RWTH Aachen University
Zweryfikowany adres z mit.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
14342017
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
5482018
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
3072020
What are higher-order networks?
C Bick, E Gross, HA Harrington, MT Schaub
SIAM Review 65 (3), 686-731, 2023
2672023
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
2112012
The many facets of community detection in complex networks
MT Schaub, JC Delvenne, M Rosvall, R Lambiotte
Applied Network Science 2 (1), 4, 2017
2032017
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
1802016
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
1582021
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
108*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
992019
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
982018
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
922012
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
892018
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
892016
Using higher-order Markov models to reveal flow-based communities in networks
V Salnikov, MT Schaub, R Lambiotte
Scientific reports 6 (1), 23194, 2016
702016
Different approaches to community detection
M Rosvall, JC Delvenne, MT Schaub, R Lambiotte
Advances in network clustering and blockmodeling, 105-119, 2019
652019
Topological Deep Learning: Going Beyond Graph Data
M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ...
arXiv preprint arXiv:2206.00606v3, 2023
59*2023
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
592014
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
582015
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
562022
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