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JMLR
2002
138views more  JMLR 2002»
14 years 9 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
SDM
2011
SIAM
284views Data Mining» more  SDM 2011»
14 years 14 days ago
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomp...
Myunghwan Kim 0002, Jure Leskovec
123
Voted
ICDE
2011
IEEE
281views Database» more  ICDE 2011»
14 years 1 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...
ESWS
2010
Springer
15 years 2 months ago
Guarding a Walled Garden - Semantic Privacy Preferences for the Social Web
Abstract. With increasing usage of Social Networks, giving users the possibility to establish access restrictions on their data and resources becomes more and more important. Howev...
Philipp Kärger, Wolf Siberski
ICML
2010
IEEE
14 years 10 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor