Research

Our Publication

  • Subhabrata Mukherjee, Stephan Günnemann, Gerhard Weikum
    Continuous Experience-aware Language ModelACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 (to appear).
  • Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
    MiMAG: Mining Coherent Subgraphs in Multi-Layer Graphs with Edge LabelsKnowledge and Information Systems (KAIS), 2016 (to appear).
  • Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
    BIRDNEST: Bayesian Inference for Ratings-Fraud DetectionSIAM International Conference on Data Mining (SDM), 2016 (to appear).
  • Miguel Araujo, Stephan Günnemann, Spiros Papadimitriou, Christos Faloutsos, Prithwish Basu, Ananthram Swami, Evangelos Papalexakis and Danai Koutra
    Discovery of ‘comet’ communities in temporal and labeled graphs (Com2)
    Knowledge and Information Systems (KAIS), 2016
  • Tobias Kötter, Stephan Günnemann, Christos Faloutsos, and Michael R. BertholdAutomatic taxonomy extraction from bipartite graphs
    (Invitation to special issue: ICDM Best papers)
    IEEE International Conference on Data Mining (ICDM), pages 221–230, 2015.
  • Wolfgang Gatterbauer, Stephan Günnemann, Danai Koutra, Christos FaloutsosLinearized and Single-Pass Belief Propagation
    PVLDB, Vol. 8(5), pp. 581-592, 2015
  • Tobias Kötter, Stephan Günnemann, Michael Berthold, and Christos Faloutsos
    Extracting Taxonomies from Bipartite GraphsInternational World Wide Web Conference (WWW), pp. 51-52, 2015
  • Jay-Yoon Lee, Manzil Zaheer, Stephan Günnemann, Alexander J. SmolaPreferential Attachment in Graphs with AffinitiesInternational Conference on Artificial Intelligence and Statistics (AISTATS), pp. 571-580, 2015
  • Manuel Then, Linnea Passing, Nina Hubig, Stephan Günnemann, Alfons Kemper, and Thomas NeumannEffiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme LWA 2015, Special interest group database systems, pages 45–49, 2015.
  • Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer DyEditorial: MultiClust Special Issue on Discovering, Summarizing and Using Multiple Clusterings
    Machine Learning Journal (MLJ), Vol. 98(1-2), pp. 1-5, 2015[PDF]
  • Miguel Araujo, Stephan Günnemann, Gonzalo Mateos and Christos FaloutsosBeyond Blocks: Hyperbolic Community DetectionEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), pp. 50-65, 2014[PDF], [Supplementary material]
  • Stephan Günnemann, Nikou Günnemann and Christos FaloutsosDetecting Anomalies in Dynamic Rating Data: A Robust Probabilistic Model for Rating EvolutionACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 841-850, 2014[PDF]
  • Stephan Günnemann, Ines Färber, Matthias Rüdiger and Thomas SeidlSMVC: Semi-Supervised Multi-View Clustering in Subspace ProjectionsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 253-262, 2014[PDF], [Supplementary material]
  • Nikou Günnemann, Stephan Günnemann and Christos FaloutsosRobust Multivariate Autoregression for Anomaly Detection in Dynamic Product RatingsInternational World Wide Web Conference (WWW), pp. 361-372, 2014[PDF]
  • Tobias Kötter, Stephan Günnemann, Christos Faloutsos and Michael BertholdFault-tolerant Concept Detection in Information NetworksPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 410-421, 2014[PDF], [Supplementary material]
  • Miguel Araujo, Spiros Papadimitriou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami, Evangelos Papalexakis and Danai KoutraCom2: Fast Automatic Discovery of Temporal (‘Comet’) Communities
    (Best Student Paper Runner-Up Award)
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 271-283, 2014[PDF], [Supplementary material]
  • Stephan Günnemann, Ines Färber, Brigitte Boden and Thomas SeidlGAMer: A Synthesis of Subspace Clustering and Dense Subgraph MiningKnowledge and Information Systems (KAIS), Vol. 40(2), pp. 243-278, 2014[PDF], [Supplementary material]
  • Miguel Araujo, Stephan Günnemann, Gonzalo Mateos and Christos FaloutsosBeyond Blocks: Hyperbolic Community DetectionEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), pp. 50-65, 2014[PDF], [Supplementary material]
  • Stephan Günnemann, Nikou Günnemann and Christos FaloutsosDetecting Anomalies in Dynamic Rating Data: A Robust Probabilistic Model for Rating EvolutionACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 841-850, 2014[PDF]
  • Stephan Günnemann, Ines Färber, Matthias Rüdiger and Thomas SeidlSMVC: Semi-Supervised Multi-View Clustering in Subspace ProjectionsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 253-262, 2014[PDF], [Supplementary material]
  • Nikou Günnemann, Stephan Günnemann and Christos FaloutsosRobust Multivariate Autoregression for Anomaly Detection in Dynamic Product RatingsInternational World Wide Web Conference (WWW), pp. 361-372, 2014[PDF]
  • Tobias Kötter, Stephan Günnemann, Christos Faloutsos and Michael BertholdFault-tolerant Concept Detection in Information NetworksPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 410-421, 2014[PDF], [Supplementary material]
  • Miguel Araujo, Spiros Papadimitriou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami, Evangelos Papalexakis and Danai KoutraCom2: Fast Automatic Discovery of Temporal (‘Comet’) Communities
    (Best Student Paper Runner-Up Award)
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 271-283, 2014[PDF], [Supplementary material]
  • Stephan Günnemann, Ines Färber, Brigitte Boden and Thomas SeidlGAMer: A Synthesis of Subspace Clustering and Dense Subgraph MiningKnowledge and Information Systems (KAIS), Vol. 40(2), pp. 243-278, 2014[PDF], [Supplementary material]

Address

  • Address:Faculty of New Sciences and Technologies, University of Tehran
    North Kargar Street, Tehran, Iran
  • Post Code: 1439957131
  • zip code: 14395 -1561