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Nov, 2022
缓解知识图谱中的关系偏差
Mitigating Relational Bias on Knowledge Graphs
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Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang...
TL;DR
提出了一种名为Fair-KGNN的知识图谱神经网络框架,可以同时减轻知识图谱中个体偏见和关系偏见的影响,从而实现表示学习的公平性和预测性能。
Abstract
Knowledge graph data are prevalent in real-world applications, and
knowledge graph neural networks
(KGNNs) are essential techniques for knowledge graph
representation learning
. Although KGNN effectively models th
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