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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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Bibliografiske detaljer
Hovedforfatter: Ting Wang
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2026-01-01
Serier:Scientific Reports
Fag:
Online adgang:https://doi.org/10.1038/s41598-025-34507-0
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