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Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models

arXiv · AI, language, vision and robotics · article · Sep 2, 2026 · UTC

Knowledge graphs have become an important source of structured knowledge for Web applications, including search, question answering, and recommender systems. In these applications, link prediction can serve either as a prediction task itself or as a means to enrich incomplete knowledge graphs for downstream tasks. Interestingly, different link prediction models, or even different training runs of the same model, can produce substantially different predictions for the same query. This suggests a variability in the capture of the underlying knowledge by models, thus raising a fundamental questio

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