Machine learningNetwork science
多层知识图谱分析
多层知识图谱分析将知识库视为一组共享相同实体集的、特定关系的网络层堆叠，从而能够跨关系类型进行同步推理。与扁平的单层图不同，它保留了关系类型间的语义区分，并支持基于多层网络理论的跨层链接预测、实体对齐和社区检测。
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来源
- Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI: 10.1093/comnet/cnu016 ↗
- Nickel, M., Murphy, K., Tresp, V., & Gabrilovich, E. (2016). A review of relational machine learning for knowledge graphs. Proceedings of the IEEE, 104(1), 11–33. DOI: 10.1109/JPROC.2015.2483592 ↗
如何引用本页
ScholarGate. (2026, June 3). Multilayer Knowledge Graph Analysis (Multi-Relational Network Framework). ScholarGate. https://scholargate.app/zh/network-analysis/multilayer-knowledge-graph-analysis
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