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Brian Gallagher: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jennifer Neville, David Jensen, Brian Gallagher
    Simple Estimators for Relational Bayesian Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:609-612 [Conf]
  2. David Jensen, Jennifer Neville, Brian Gallagher
    Why collective inference improves relational classification. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:593-598 [Conf]
  3. Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew Fast, Jennifer Neville, David Jensen
    Exploiting relational structure to understand publication patterns in high-energy physics. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:2, pp:165-172 [Journal]
  4. John Burgess, Brian Gallagher, David Jensen, Brian Neil Levine
    MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. [Citation Graph (0, 0)][DBLP]
    INFOCOM, 2006, pp:- [Conf]
  5. Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad
    Fast best-effort pattern matching in large attributed graphs. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:737-746 [Conf]

  6. An Examination of Experimental Methodology for Classifiers of Relational Data. [Citation Graph (, )][DBLP]

  7. GRAPHITE: A Visual Query System for Large Graphs. [Citation Graph (, )][DBLP]

  8. Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. [Citation Graph (, )][DBLP]

  9. Link Homophily in the Application Layer and its Usage in Traffic Classification. [Citation Graph (, )][DBLP]

  10. Using ghost edges for classification in sparsely labeled networks. [Citation Graph (, )][DBLP]

  11. Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. [Citation Graph (, )][DBLP]

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