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Sep, 2019
知识图谱中的少量样本链接预测的元关系学习
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
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Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen
TL;DR
本研究基于Meta Relational Learning框架，针对在知识图谱上进行少样本关系预测的挑战，通过转移关系特异的元信息来实现优化学习，最终在少样本关系预测基准测试中取得了最先进的成果。
Abstract
link prediction
is an important way to complete
knowledge graphs
(KGs), while
embedding-based methods
, effective for
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