A few good predictions
Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi · 2014
Many social network applications face the following problem: given a network G=(V,E) with labels on a small subset O \subset V of nodes and an optional set of features on nodes and edges, predict the labels of the remaining nodes. Much research has gone into designing learning models and inference algorithms for accurate predictions in this setting. However, a core hurdle to any prediction effort is that for many nodes there is insufficient evidence for inferring a label.