Baris Senliol

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—When in addition to node contents and labels, relations (links) between nodes and some unlabeled nodes are available, collective classification algorithms can be used. Collective classification algorithms, like ICA (Iterative Classification Algorithm), determine labels for the unlabeled nodes based on the contents and/or labels of the neighboring nodes.(More)
Collective classification algorithms [Mackassky 2007, Sen 2008] could be used for better classification of networked data when unlabeled test node features and links are available. In this study, we provide detailed results on the performance of collective classification algorithms when content or link noise is present. First of all, we show(More)
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