AINeutralarXiv – CS AI · 15h ago6/10
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The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation?
Researchers evaluated how knowledge graphs (KGs) influence hypothesis generation in large language models across multiple models, finding that compact subgraphs often perform comparably to full graphs. The study reveals that KG utility is selective and model-dependent, with useful signal often recoverable from structured, compressed subsets rather than complete local graphs.
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