A causal discovery-based adaptive fusion algorithm for multi-source heterogeneous knowledge graphs

Abstract Multi-source heterogeneous knowledge graph fusion faces significant challenges due to schema heterogeneity, entity conflicts, and relationship inconsistencies across different knowledge sources. This paper proposes CausalFusion, a novel adaptive fusion algorithm that leverages causal discov...

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Bibliografiska uppgifter

Huvudupphov:	Ting Wang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2026-01-01
Serie:	Scientific Reports
Ämnen:	Knowledge graph fusion Causal discovery Multi-source heterogeneous data Adaptive algorithms Schema alignment Conflict resolution
Länkar:	https://doi.org/10.1038/s41598-025-34507-0
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