Survey highlights link prediction algorithms and methodologies, suggesting that method selection impacts reproducibility.
This paper surveys the field of link prediction, focusing on the evolution of algorithms, theirmethodologies, and diverse application domains. We provide a structured review of classicalheuristic approaches, machine learning, and deep learning techniques, and discuss how the selection of methods depends on the network’s domain and structure.
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S et al. (2026) studied this question.
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