Neural-Symbolic Knowledge Graphs Advance Traceability in Power Test Data
A self-evolving neural-symbolic knowledge graph framework achieved 98.5 percent accuracy in tracing heterogeneous measurement information across electric power testing systems.
A self-evolving neural-symbolic knowledge graph framework achieved 98.5 percent accuracy in tracing heterogeneous measurement information across electric power testing systems.
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