Adaptive degree penalization for link prediction
نویسندگان
چکیده
Many systems of interest are best described using networks that represent binary relationships among their elements. Link prediction aims to infer the link formation process by predicting missed or future relationships based on currently observed connections. Different techniques and measures have been proposed in the literature to solve this problem. Similarity-based local methods achieve high precision with a low computational complexity. However, determining which particular technique should be
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ورودعنوان ژورنال:
- J. Comput. Science
دوره 13 شماره
صفحات -
تاریخ انتشار 2016