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Volumn 38, Issue , 2015, Pages 1135-1143

Infinite edge partition models for overlapping community detection and link prediction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; STOCHASTIC SYSTEMS;

EID: 84954308726     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (136)

References (32)
  • 1
    • 77955518815 scopus 로고    scopus 로고
    • Link communities reveal multiscale complexity in networks
    • Y.-Y. Aim, J. P. Bagrow, and S. Lehmann. Link communities reveal multiscale complexity in networks. Nature, pages 761-764, 2010.
    • (2010) Nature , pp. 761-764
    • Aim, Y.-Y.1    Bagrow, J.P.2    Lehmann, S.3
  • 4
    • 80053018115 scopus 로고    scopus 로고
    • Efficient and principled method for detecting communities in networks
    • B. Ball, B. Karrer, and M. E. J. Newman. Efficient and principled method for detecting communities in networks. Physical Review E, 2011.
    • (2011) Physical Review e
    • Ball, B.1    Karrer, B.2    Newman, M.E.J.3
  • 7
    • 33749249600 scopus 로고    scopus 로고
    • The relationship between precision-recall and roc curves
    • J. Davis and M. Goadrich. The relationship between Precision-Recall and ROC curves. In ICML, 2006.
    • (2006) ICML
    • Davis, J.1    Goadrich, M.2
  • 8
    • 68949093647 scopus 로고    scopus 로고
    • Line graphs, link partitions, and overlapping communities
    • T. S. Evans and R. Lambiotte. Line graphs, link partitions, and overlapping communities. Physical Review E, page 016105, 2009.
    • (2009) Physical Review e , pp. 016105
    • Evans, T.S.1    Lambiotte, R.2
  • 9
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonpara-metric problems
    • T. S. Ferguson. A Bayesian analysis of some nonpara-metric problems. Ann. Statist., 1973.
    • (1973) Ann. Statist.
    • Ferguson, T.S.1
  • 10
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • S. Fortunato. Community detection in graphs. Physics Reports, pages 75-174, 2010.
    • (2010) Physics Reports , pp. 75-174
    • Fortunato, S.1
  • 12
    • 84864043341 scopus 로고    scopus 로고
    • Infinite latent feature models and the Indian buffet process
    • T. L. Griffiths and Z. Ghahramani. Infinite latent feature models and the Indian buffet process. In NIPS, 2005.
    • (2005) NIPS
    • Griffiths, T.L.1    Ghahramani, Z.2
  • 13
    • 85162055675 scopus 로고    scopus 로고
    • Modeling homophily and stochastic equivalence in symmetric relational data
    • P. Hoff. Modeling homophily and stochastic equivalence in symmetric relational data. In NIPS, 2008.
    • (2008) NIPS
    • Hoff, P.1
  • 15
    • 0039064128 scopus 로고
    • Row-column exchangeability and a general model for exchangeability
    • In G. Koch and F. Spizzichino, editors
    • D. N. Hoover. Row-column exchangeability and a general model for exchangeability. In G. Koch and F. Spizzichino, editors, Exchangeability in Probability and Statistics. 1982.
    • (1982) Exchangeability in Probability and Statistics
    • Hoover, D.N.1
  • 17
    • 84899021529 scopus 로고    scopus 로고
    • Efficient online inference for Bayesian nonparamet-ric relational models
    • D. I. Kim, P. Gopalan, D. M. Blei, and E. Sudderth. Efficient online inference for Bayesian nonparamet-ric relational models. In NIPS, pages 962-970, 2013.
    • (2013) NIPS , pp. 962-970
    • Kim, D.I.1    Gopalan, P.2    Blei, D.M.3    Sudderth, E.4
  • 19
    • 84877780846 scopus 로고    scopus 로고
    • Random function priors for exchangeable arrays with applications to graphs and relational data
    • J. Lloyd, P. Orbanz, Z. Ghahramani, and D. Roy. Random function priors for exchangeable arrays with applications to graphs and relational data. In NIPS, 2012.
    • (2012) NIPS
    • Lloyd, J.1    Orbanz, P.2    Ghahramani, Z.3    Roy, D.4
  • 20
    • 79951739147 scopus 로고    scopus 로고
    • Nonpara-metric latent feature models for link prediction
    • K. Miller, M. I. Jordan, and T. L. Griffiths. Nonpara-metric latent feature models for link prediction. In NIPS, 2009.
    • (2009) NIPS
    • Miller, K.1    Jordan, M.I.2    Griffiths, T.L.3
  • 21
    • 84877774086 scopus 로고    scopus 로고
    • Infinite multiple membership relational modeling for complex networks
    • M. Morup, M. N. Schmidt, and L. K. Hansen. Infinite multiple membership relational modeling for complex networks. In IEEE MLSP, 2011.
    • (2011) IEEE MLSP
    • Morup, M.1    Schmidt, M.N.2    Hansen, L.K.3
  • 22
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • M. E. J. Newman and M. Girvan. Finding and evaluating community structure in networks. Physical review E, page 026113, 2004.
    • (2004) Physical Review e , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 23
    • 0442296603 scopus 로고    scopus 로고
    • Estimation and prediction for stochastic blockstructures
    • K. Nowicki and T. A. B. Snijders. Estimation and prediction for stochastic blockstructures. JASA, pages 1077-1087, 2001.
    • (2001) JASA , pp. 1077-1087
    • Nowicki, K.1    Snijders, T.A.B.2
  • 24
    • 20444504323 scopus 로고    scopus 로고
    • Uncovering the overlapping community structure of complex networks in nature and society
    • G. Palla, I. Derenyi, I. Farkas, and T. Vicsek. Uncovering the overlapping community structure of complex networks in nature and society. Nature, pages 814-818, 2005.
    • (2005) Nature , pp. 814-818
    • Palla, G.1    Derenyi, I.2    Farkas, I.3    Vicsek, T.4
  • 25
    • 84919783643 scopus 로고    scopus 로고
    • A reversible infinite HMM using normalised random measures
    • K. Palla, D. Knowles, and Z. Ghahramani. A reversible infinite HMM using normalised random measures. In ICML, 2014.
    • (2014) ICML
    • Palla, K.1    Knowles, D.2    Ghahramani, Z.3
  • 26
    • 84867122524 scopus 로고    scopus 로고
    • An infinite latent attribute model for network data
    • K. Palla, D. A. Knowles, and Z. Ghahramani. An infinite latent attribute model for network data. In ICML. 2012.
    • (2012) ICML
    • Palla, K.1    Knowles, D.A.2    Ghahramani, Z.3
  • 28
    • 84874075315 scopus 로고    scopus 로고
    • Community-affiliation graph model for overlapping network community detection
    • J. Yang and J. Leskovec. Community-affiliation graph model for overlapping network community detection. In ICDM, 2012.
    • (2012) ICDM
    • Yang, J.1    Leskovec, J.2
  • 29
    • 84899760660 scopus 로고    scopus 로고
    • Structure and overlaps of ground-truth communities in networks
    • J. Yang and J. Leskovec. Structure and overlaps of ground-truth communities in networks. ACM Trans. Intell. Syst. Technol., pages 26:1-26:35, 2014.
    • (2014) ACM Trans. Intell. Syst. Technol. , pp. 261-2635
    • Yang, J.1    Leskovec, J.2
  • 30
    • 84877747661 scopus 로고    scopus 로고
    • Augment-and-conquer negative binomial processes
    • M. Zhou and L. Carin. Augment-and-conquer negative binomial processes. In NIPS, 2012.
    • (2012) NIPS
    • Zhou, M.1    Carin, L.2
  • 32
    • 84866013303 scopus 로고    scopus 로고
    • Beta-negative binomial process and Poisson factor analysis
    • M. Zhou, L. Hannah, D. Dunson, and L. Carin. Beta-negative binomial process and Poisson factor analysis. In AISTATS, 2012.
    • (2012) AISTATS
    • Zhou, M.1    Hannah, L.2    Dunson, D.3    Carin, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.