SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models - researchr publication authors

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Simon Ott, Christian Meilicke, Matthias Samwald. SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. In Danqi Chen, Jonathan Berant, Andrew McCallum, Sameer Singh 0001, editors, 3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021. 2021. [doi]

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