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 | 1351 | 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 | 480 | 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 | 263 | 2020 |
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 | 207 | 2012 |
What are higher-order networks? C Bick, E Gross, HA Harrington, MT Schaub SIAM Review 65 (3), 686-731, 2023 | 198 | 2023 |
The many facets of community detection in complex networks MT Schaub, JC Delvenne, M Rosvall, R Lambiotte Applied Network Science 2 (1), 4, 2017 | 190 | 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 | 170 | 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 | 129 | 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 | 103* | 2013 |
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 | 87 | 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 | 87 | 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 | 85 | 2012 |
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 | 84 | 2019 |
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 | 79 | 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 | 67 | 2016 |
Different approaches to community detection M Rosvall, JC Delvenne, MT Schaub, R Lambiotte Advances in network clustering and blockmodeling, 105-119, 2019 | 60 | 2019 |
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 | 55 | 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 | 55 | 2014 |
Multiscale dynamical embeddings of complex networks MT Schaub, JC Delvenne, R Lambiotte, M Barahona Physical Review E 99 (6), 062308, 2019 | 54 | 2019 |
Random multi-hopper model: super-fast random walks on graphs E Estrada, JC Delvenne, N Hatano, JL Mateos, R Metzler, AP Riascos, ... Journal of Complex Networks 6 (3), 382-403, 2018 | 48 | 2018 |