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Link Prediction in Networked Data Using Structural Features and Machine Learning

It is indicated that structural information remains important for link prediction in contemporary learning-based models and future work will continue to improve the scalability, robustness, temporal adaptation and interpretability of link prediction models for large-scale, dynamic real-world networks.