手法を比較

	多層知識グラフ分析	多層コミュニティ検出
分野	ネットワーク分析	ネットワーク分析
系統	Machine learning	Machine learning
提唱年	2014–2016	2010–2014
提唱者	Kivela, M. et al.; Nickel, M. et al.	Mucha, P. J. et al.; Kivela, M. et al.
種類	Graph-based analytical framework	Community detection algorithm for multilayer networks
原典	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.	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.
別名	multi-relational knowledge graph analysis, multilayer KG analysis, multi-relational graph analysis, multiplex knowledge graph analysis	multilayer clustering, multiplex community detection, cross-layer community detection, MCD
関連	5	5
概要	Multilayer knowledge graph analysis treats a knowledge base as a stack of relation-specific network layers sharing the same entity set, enabling simultaneous reasoning across relation types. Unlike a flat single-layer graph, it preserves the semantic distinctions between relation types and supports cross-layer link prediction, entity alignment, and community detection grounded in multilayer network theory.	Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss.