Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

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G. Mark Namata, Identifying Graphs from Noisy Observational Data, University of Maryland - College Park, 2012.PDF icon namata-phdthesis.pdf (1.51 MB)
G. Namata, London, B., Getoor, L., and Huang, B., Query-driven Active Surveying for Collective Classification, in ICML Workshop on MLG, 2012.PDF icon namata-mlg12.pdf (257.49 KB)
G. Namata, Kok, S., and Getoor, L., Collective Graph Identification, in KDD, 2011.PDF icon namata-kdd11.pdf (185.7 KB)
G. Namata, Sharara, H., and Getoor, L., A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks, 1st ed., vol. 1. Springer, 2010, p. 107--133.PDF icon namata-book10.pdf (656.83 KB)
G. Mark Namata and Getoor, L., Link Prediction, Encyclopedia of Machine Learning, 2010.
G. Mark Namata and Getoor, L., A Pipeline Approach to Graph Identification, in Seventh International Workshop on Mining and Learning with Graphs, 2009.PDF icon namatag-mlg09.pdf (93.77 KB)
G. Namata, Sen, P., Bilgic, M., and Getoor, L., Collective Classification for Text Classification, 1st ed., vol. 1. Taylor and Francis Group, 2009, p. 51--69.PDF icon namata-book09.pdf (4.35 MB)
G. Mark Namata and Getoor, L., Identifying Graphs From Noisy and Incomplete Data, in 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009.PDF icon namatag-kddu09.pdf (241.7 KB)
G. Mark Namata, Staats, B., Getoor, L., and Shneiderman, B., A Dual-View Approach to Interactive Network Visualization, in ACM Conference on Information and Knowledge Management, 2007.PDF icon cikm0671-namata.pdf (376.54 KB)
G. Mark Namata, Getoor, L., and Diehl, C., Inferring Organizational Titles in Online Communications, in ICML Workshop on Statistical Network Analysis, 2006.PDF icon icml2006_ExtAbst.pdf (72.39 KB)
G. Namata, London, B., and Getoor, L., Collective Graph Identification, TKDD, vol. 10, 2015.PDF icon namata-tkdd15.pdf (500.96 KB)