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Sep, 2024
归纳链接预测的重新评估
Reevaluation of Inductive Link Prediction
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Simon Ott, Christian Meilicke, Heiner Stuckenschmidt
TL;DR
本研究针对当前归纳链接预测评估协议存在的严重缺陷进行了探讨,该协议过于依赖于从小规模随机抽样的负实体中排名真实实体。我们提出了一种改进的抽样协议,并在多个基准上重新评估当前的归纳链接预测方法,发现其结果与此前的报告大相径庭。
Abstract
Within this paper, we show that the
Evaluation Protocol
currently used for
Inductive Link Prediction
is heavily flawed as it relies on ranking the true entity in a small set of randomly sampled negative entities.
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