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We develop the Latent Multi-group Membership Graph (LMMG) model, a model of networks with rich node feature structure.
The national longitudinal study of adolescent health: Research design
Bearman, P. S., Jones, J., and Udry, J. R · 1997
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Learning to extract symbolic knowledge from the world wide web
Craven, M., DiPasquo, D., Freitag, D., McCallum, A., Mitchell, T., Nigam, K., and Slattery, S · 1998
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Probabilistic models of text and link structure for hypertext classification
Getoor, L., Segal, E., Taskar, B., and Koller, D · 2001
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Hoff, P., Raftery, A., and Handcock, M · 2002
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Link prediction in relational data
Taskar, B., Wong, M. F., Abbeel, P., and Koller, D · 2003
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Chang, J. and Blei, D. M · 2009
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Network completion problem: Inferring missing nodes and edges in networks
Kim, M. and Leskovec, J
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Modeling social networks with node attributes using the multiplicative attribute graph model
Kim, M. and Leskovec, J
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Nonparametric latent feature models for link prediction
Miller, K. T., Griffiths, T. L., and Jordan, M. I · 2009
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Kronecker Graphs: An Approach to Modeling Networks
Leskovec, J., Chakrabarti, D., Kleinberg, J., Faloutsos, C., and Ghahramani, Z · 2010
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Supervised random walks: Predicting and recommending links in social networks
Backstrom, L. and Leskovec, J · 2011
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Social structure of facebook networks
Traud, Amanda L., Mucha, Peter J., and Porter, Mason A · 2011
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Multiplicative attribute graph model of real-world networks
Kim, M. and Leskovec, J · 2012
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