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RTSKG reveals that integrating urban entities into a cohesive knowledge graph can dramatically improve the accuracy of ridership predictions and related urban analyses.
Uncertain knowledge graphs can transform LLM reasoning, reducing hallucinations and enhancing answer reliability through adaptive debates.
Knowledge graphs can learn new facts without forgetting old ones if you disentangle the different semantic facets of entities as they evolve over time.