Learning from Labeled and Unlabeled Vertices in Networks

Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm · 2017

Networks such as social networks, citation networks, protein-protein interaction networks, etc., are prevalent in real world. However, only very few vertices have labels compared to large amounts of unlabeled vertices. For example, in social networks, not every user provides his/her profile information such as the personal interests which are relevant for targeted advertising. Can we leverage the limited user information and friendship network wisely to infer the labels of unlabeled users?

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