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We propose an adaptive degree penalization link prediction method, a novel link prediction technique that achieves better results than previously proposed ...
We propose an adaptive degree penalization link prediction method, a novel link prediction technique that achieves better results than previously proposed ...
Víctor Martínez, Fernando Berzal, Juan Carlos Cubero Talavera : Adaptive degree penalization for link prediction. J. Comput. Sci. 13: 1-9 (2016).
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In this paper, we propose a novel node similarity index named heterogeneous degree penalization (HDP), which incorporates the quasi-local structure information.
Dec 2, 2018 · For CN, AA, RA, and ADP indexes, ADP index performs the best, since it can penalize common neighbors by automatically adapting to the network.
In social network analysis, link prediction is a fundamental tool to determine new relationships among users which are most likely to occur in the future.
Adaptive degree penalization for link prediction · A fast algorithm for predicting links to nodes of interest · a anjali. The problem of link prediction has ...
Nov 18, 2020 · Link prediction is defined as the estimation of the likelihood of link formation between each pair of nodes for which a link does not exist.
Link prediction is a task to infer missing connections that should exist but are not directly visible due to the incomplete information of the system (3–6), ...
Jun 3, 2024 · ABSTRACT. Link prediction can help rectify inaccuracies in various graph al- gorithms, stemming from unaccounted-for or overlooked links.