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Jun, 2020
MultiImport: 从多个输入信号推断知识图中节点的重要性
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
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Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
TL;DR
该文通过提出MultiImport模型,采用注意力图神经网络,利用多源输入信息有效地推断了一个知识图谱中节点的重要性,并取得了优于现有方法的结果。
Abstract
Given multiple input signals, how can we infer
node importance
in a
knowledge graph
(KG)?
node importance
estimation is a crucial and chal
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