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Link Prediction in Networked Data Using Structural Features and Machine Learning

Link prediction is a problem in network analysis that seeks to find missing or future links in a graph based on observed graph structures and available node information. This paper reviews the development of link prediction methods from traditional structural heuristics to network embeddings and graph neural networks....