An original model for multi-target learning of logical rules for knowledge graph reasoning

IF 3.4 2区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Haotian Li, Bailing Wang, Kai Wang, Rui Zhang, Yuliang Wei
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引用次数: 0

Abstract

Large-scale knowledge graphs are crucial for structuring human knowledge; however, they often remain incomplete. This paper tackles the challenge of completing missing factual triples in knowledge graphs using through rule reasoning. Current rule learning methods tend to allocate a significant portion of triples to constructing the graph during training, while neglecting multi-target reasoning scenarios. Furthermore, these methods typically depend on qualitative assessments of mined rules, lacking a quantitative method to evaluate rule quality. We propose a model that optimizes training data usage and supports multi-target reasoning. To overcome limitations in evaluating model performance and rule quality, we propose two novel metrics. Experimental results show that our model outperforms baseline methods on five benchmark datasets, validating the effectiveness of these metrics.

知识图推理中逻辑规则的多目标学习模型
大规模知识图谱是构建人类知识的关键;然而,它们往往是不完整的。本文通过规则推理解决了知识图中缺失事实三元组的补全问题。目前的规则学习方法往往在训练过程中分配很大一部分三元组用于图的构造,而忽略了多目标推理场景。此外,这些方法通常依赖于对挖掘规则的定性评估,缺乏评估规则质量的定量方法。我们提出了一个优化训练数据使用和支持多目标推理的模型。为了克服评估模型性能和规则质量的局限性,我们提出了两个新的度量标准。实验结果表明,我们的模型在五个基准数据集上优于基线方法,验证了这些指标的有效性。
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来源期刊
Applied Intelligence
Applied Intelligence 工程技术-计算机:人工智能
CiteScore
6.60
自引率
20.80%
发文量
1361
审稿时长
5.9 months
期刊介绍: With a focus on research in artificial intelligence and neural networks, this journal addresses issues involving solutions of real-life manufacturing, defense, management, government and industrial problems which are too complex to be solved through conventional approaches and require the simulation of intelligent thought processes, heuristics, applications of knowledge, and distributed and parallel processing. The integration of these multiple approaches in solving complex problems is of particular importance. The journal presents new and original research and technological developments, addressing real and complex issues applicable to difficult problems. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.
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