Search Results - "Schaub, Michael T."

Simplicial closure and higher-order link prediction by Benson, Austin R., Abebe, Rediet, Schaub, Michael T., Jadbabaie, Ali, Kleinberg, Jon

“…Networks provide a powerful formalism for modeling complex systems by using a model of pairwise interactions. But much of the structure within these systems…”
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Dirac signal processing of higher-order topological signals by Calmon, Lucille, Schaub, Michael T, Bianconi, Ginestra

“…Abstract Higher-order networks can sustain topological signals which are variables associated not only to the nodes, but also to the links, to the triangles…”
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Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit by Schaub, Michael T, Delvenne, Jean-Charles, Yaliraki, Sophia N, Barahona, Mauricio

“…In recent years, there has been a surge of interest in community detection algorithms for complex networks. A variety of computational heuristics, some with a…”
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Mapping the cardiac vascular niche in heart failure by Peisker, Fabian, Halder, Maurice, Nagai, James, Ziegler, Susanne, Kaesler, Nadine, Hoeft, Konrad, Li, Ronghui, Bindels, Eric M. J., Kuppe, Christoph, Moellmann, Julia, Lehrke, Michael, Stoppe, Christian, Schaub, Michael T., Schneider, Rebekka K., Costa, Ivan, Kramann, Rafael

“…The cardiac vascular and perivascular niche are of major importance in homeostasis and during disease, but we lack a complete understanding of its cellular…”
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The many facets of community detection in complex networks by Schaub, Michael T., Delvenne, Jean-Charles, Rosvall, Martin, Lambiotte, Renaud

“…Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years. Since…”
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CrossTalkeR: analysis and visualization of ligand–receptorne tworks by Nagai, James S, Leimkühler, Nils B, Schaub, Michael T, Schneider, Rebekka K, Costa, Ivan G

“…Abstract Motivation Ligand–receptor (LR) network analysis allows the characterization of cellular crosstalk based on single cell RNA-seq data. However, current…”
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Encoding dynamics for multiscale community detection: Markov time sweeping for the map equation by Schaub, Michael T, Lambiotte, Renaud, Barahona, Mauricio

“…The detection of community structure in networks is intimately related to finding a concise description of the network in terms of its modules. This notion has…”
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Flow-Based Network Analysis of the Caenorhabditis elegans Connectome by Bacik, Karol A, Schaub, Michael T, Beguerisse-Díaz, Mariano, Billeh, Yazan N, Barahona, Mauricio

“…We exploit flow propagation on the directed neuronal network of the nematode C. elegans to reveal dynamically relevant features of its connectome. We find…”
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Emergence of Slow-Switching Assemblies in Structured Neuronal Networks by Schaub, Michael T, Billeh, Yazan N, Anastassiou, Costas A, Koch, Christof, Barahona, Mauricio

“…Unraveling the interplay between connectivity and spatio-temporal dynamics in neuronal networks is a key step to advance our understanding of neuronal…”
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Improving the visibility of minorities through network growth interventions by Neuhäuser, Leonie, Karimi, Fariba, Bachmann, Jan, Strohmaier, Markus, Schaub, Michael T.

“…Improving the position of minority groups in networks through interventions is a challenge of high theoretical and societal importance. However, a systematic…”
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SC3: consensus clustering of single-cell RNA-seq data by Kiselev, Vladimir Yu, Kirschner, Kristina, Schaub, Michael T, Andrews, Tallulah, Yiu, Andrew, Chandra, Tamir, Natarajan, Kedar N, Reik, Wolf, Barahona, Mauricio, Green, Anthony R, Hemberg, Martin

“…Single-cell consensus clustering (SC3) provides user-friendly, robust and accurate cell clustering as well as downstream analysis for single-cell RNA-seq data…”
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Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes by Neuhäuser, Leonie, Stamm, Felix I., Lemmerich, Florian, Schaub, Michael T., Strohmaier, Markus

“…Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational…”
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Simplicial Convolutional Filters by Yang, Maosheng, Isufi, Elvin, Schaub, Michael T., Leus, Geert

“…We study linear filters for processing signals supported on abstract topological spaces modeled as simplicial complexes, which may be interpreted as…”
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Using higher-order Markov models to reveal flow-based communities in networks by Salnikov, Vsevolod, Schaub, Michael T., Lambiotte, Renaud

“…Complex systems made of interacting elements are commonly abstracted as networks, in which nodes are associated with dynamic state variables, whose evolution…”
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State Aggregations in Markov Chains and Block Models of Networks by Faccin, Mauro, Schaub, Michael T., Delvenne, Jean-Charles

“…We consider state-aggregation schemes for Markov chains from an information-theoretic perspective. Specifically, we consider aggregating the states of a Markov…”
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Centrality Measures for Graphons: Accounting for Uncertainty in Networks by Avella-Medina, Marco, Parise, Francesca, Schaub, Michael T., Segarra, Santiago

“…As relational datasets modeled as graphs keep increasing in size and their data-acquisition is permeated by uncertainty, graph-based analysis techniques can…”
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Signal Processing On Cell Complexes by Roddenberry, T. Mitchell, Schaub, Michael T., Hajij, Mustafa

“…The processing of signals supported on non-Euclidean domains has attracted large interest recently. Thus far, such non-Euclidean domains have been abstracted…”
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Exact Blind Community Detection From Signals on Multiple Graphs by Roddenberry, T. Mitchell, Schaub, Michael T., Wai, Hoi-To, Segarra, Santiago

“…Networks and data supported on graphs have become ubiquitous in the sciences and engineering. This paper studies the 'blind' community detection problem, where…”
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Higher-order signal processing with the Dirac operator by Calmon, Lucille, Schaub, Michael T., Bianconi, Ginestra

“…The processing of signals on simplicial and cellular complexes defined by nodes, edges, and higher-order cells has recently emerged as a principled extension…”
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Blind Extraction of Equitable Partitions from Graph Signals by Scholkemper, Michael, Schaub, Michael T.

“…Finding equitable partitions is closely related to the extraction of graph symmetries and of interest in a variety of applications context such as node role…”
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