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Nov, 2019
知识图谱补全方法的重新评估
A Re-evaluation of Knowledge Graph Completion Methods
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Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar, Yiming Yang
TL;DR
本文旨在探讨在大型知识图谱中自动预测缺失链接的 KGC 技术，针对最近几篇高水平论文达到的高性能，提出了一个简单的评估协议来解决模型偏差的问题，并使用该协议对几种现有方法进行了广泛的实验，同时公开了可复现的代码。
Abstract
knowledge graph completion
(KGC) aims at automatically predicting missing links for large-scale knowledge graphs. A vast number of state-of-the-art
kgc techniques
have been published in top conferences in several
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