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Günnemann, Stephan;Boden, Brigitte;Seidl, Thomas
DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors
Machine Learning and Knowledge Discovery in Databases
Springer Berlin Heidelberg
2011
Boden, Brigitte;Günnemann, Stephan;Hoffmann, Holger;Seidl, Thomas
MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels
Knowledge and Information Systems
2016
50
2
417-446
Bojchevski, Aleksandar;Matkovic, Yves;Günnemann, Stephan
Robust Spectral Clustering for Noisy Data
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17
ACM Press
2017
Gunnemann, Stephan;Farber, Ines;Boden, Brigitte;Seidl, Thomas
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms
2010 IEEE International Conference on Data Mining
IEEE
2010
Günnemann, Stephan;Günnemann, Nikou;Faloutsos, Christos
Detecting anomalies in dynamic rating data
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14
ACM Press
2014
Gatterbauer, Wolfgang;Günnemann, Stephan;Koutra, Danai;Faloutsos, Christos
Linearized and single-pass belief propagation
Proceedings of the VLDB Endowment
2015
8
5
581-592
Eswaran, Dhivya;Günnemann, Stephan;Faloutsos, Christos;Makhija, Disha;Kumar, Mohit
ZooBP
Proceedings of the VLDB Endowment
2017
10
5
625-636
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