A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion

Abstract

Link data, consisting of a collection of subsets of entities, can be an important source of information for a variety of fields including the social sciences, biology, criminology, and business intelligence. However, these links may be incomplete, containing one or more unknown members. We consider the problem of link completion, identifying which entities… (More)

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