Scalable Uncertainty Reasoning in Knowledge Graphs

In three linesThesis proposing a modular framework for reasoning over uncertainty in knowledge graphs at three levels: imprecise attribute values, probabilistic triple existence, and incomplete schema. Combines probabilistic literals, tractable probabilistic circuits via SPARQL compilation, and topology-aware geometric embeddings for schema reasoning.

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