Search Results - "Reichardt, Jörg"

Statistical mechanics of community detection by Reichardt, Jörg, Bornholdt, Stefan

“…Starting from a general ansatz, we show how community detection can be interpreted as finding the ground state of an infinite range spin glass. Our approach…”
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Protein interaction networks--more than mere modules by Pinkert, Stefan, Schultz, Jörg, Reichardt, Jörg

“…It is widely believed that the modular organization of cellular function is reflected in a modular structure of molecular networks. A common view is that a…”
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The interplay between microscopic and mesoscopic structures in complex networks by Reichardt, Jörg, Alamino, Roberto, Saad, David

“…Understanding a complex network's structure holds the key to understanding its function. The physics community has contributed a multitude of methods and…”
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Detecting fuzzy community structures in complex networks with a potts model by REICHARDT, Jörg, BORNHOLDT, Stefan

“…A fast community detection algorithm based on a q-state Potts model is presented. Communities (groups of densely interconnected nodes that are only loosely…”
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(Un)detectable cluster structure in sparse networks by Reichardt, Jörg, Leone, Michele

“…Can a cluster structure in a sparse relational data set, i.e., a network, be detected at all by unsupervised clustering techniques? We answer this question by…”
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When are networks truly modular? by Reichardt, Jörg, Bornholdt, Stefan

“…The study of cluster or community structure of complex networks contributes to the understanding of networks at a functional level. In many networks, latent…”
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Motifs in triadic random graphs based on Steiner triple systems by Winkler, Marco, Reichardt, Jörg

“…Conventionally, pairwise relationships between nodes are considered to be the fundamental building blocks of complex networks. However, over the last decade,…”
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Partitioning and modularity of graphs with arbitrary degree distribution by Reichardt, Jörg, Bornholdt, Stefan

“…We solve the graph bipartitioning problem in dense graphs with arbitrary degree distribution using the replica method. We find the cut size to scale…”
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Protein Interaction Networks--More Than Mere Modules: e1000659 by Pinkert, Stefan, Schultz, Jörg, Reichardt, Jörg

“…It is widely believed that the modular organization of cellular function is reflected in a modular structure of molecular networks. A common view is that a…”
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When are networks truly modular?: Dynamics on complex networks and applications by REICHARDT, Jörg, BORNHOLDT, Stefan

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Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey by Wörmann, Julian, Bogdoll, Daniel, Brunner, Christian, Bührle, Etienne, Chen, Han, Chuo, Evaristus Fuh, Cvejoski, Kostadin, van Elst, Ludger, Gottschall, Philip, Griesche, Stefan, Hellert, Christian, Hesels, Christian, Houben, Sebastian, Joseph, Tim, Keil, Niklas, Kelsch, Johann, Keser, Mert, Königshof, Hendrik, Kraft, Erwin, Kreuser, Leonie, Krone, Kevin, Latka, Tobias, Mattern, Denny, Matthes, Stefan, Motzkus, Franz, Munir, Mohsin, Nekolla, Moritz, Paschke, Adrian, von Pilchau, Stefan Pilar, Pintz, Maximilian Alexander, Qiu, Tianming, Qureishi, Faraz, Rizvi, Syed Tahseen Raza, Reichardt, Jörg, von Rueden, Laura, Sagel, Alexander, Sasdelli, Diogo, Scholl, Tobias, Schunk, Gerhard, Schwalbe, Gesina, Shen, Hao, Shoeb, Youssef, Stapelbroek, Hendrik, Stehr, Vera, Srinivas, Gurucharan, Tran, Anh Tuan, Vivekanandan, Abhishek, Wang, Ya, Wasserrab, Florian, Werner, Tino, Wirth, Christian, Zwicklbauer, Stefan

“…The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in…”
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Comparative Study for Inference of Hidden Classes in Stochastic Block Models by Zhang, Pan, Krzakala, Florent, Reichardt, Jörg, Zdeborová, Lenka

“…J. Stat. Mech. (2012) P12021 Inference of hidden classes in stochastic block model is a classical problem with important applications. Most commonly used…”
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