For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the t...
This paper is about classifying entities that are interlinked with entities for which the class is known. After surveying prior work, we present NetKit, a modular toolkit for cl...
We analyze a Relational Neighbor (RN) classifier, a simple relational\npredictive model that predicts only based on class labels of related neighbors,\nusing no learning and no ...
h-index: Number of publications with at least h citations each.