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Towards knowledge graph reasoning for supply chain risk management using graph neural networks

Towards knowledge graph reasoning for supply chain risk management using graph neural networks Modern supply chains are complex, interconnected systems that contain emergent, invisible dependencies. Lack of visibility often hinders effective risk planning and results in delayed discovery of supply chain problems, with examples ranging from product contamination, unsustainable production practices, or exposure to suppliers clustered in geographical areas prone to natural or man-made disasters. I...

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Towards knowledge graph reasoning for supply chain risk management using graph neural networks | Awareness Public Knowledge