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Core Dependency Networks

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
Many applications infer the structure of a probabilistic graphical model from data to elucidate the relationships between variables. But how can we train graphical models on a massive data set? In this paper, we show how to construct coresets---compressed data sets which can be used as proxy for the original data and have provably ...
Alejandro Molina   +2 more
openaire   +1 more source

Community cores in evolving networks

Proceedings of the 21st International Conference on World Wide Web, 2012
Community structure is a key property of complex networks. Many algorithms have been proposed to automatically detect communities in static networks but few studies have considered the detection and tracking of communities in an evolving network. Tracking the evolution of a given community over time requires a clustering algorithm that produces stable ...
Seifi, Massoud, Guillaume, Jean-Loup
openaire   +2 more sources

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