BLINKG is a benchmark for evaluating LLMs on mapping input data schemas to ontology concepts for knowledge graph construction, with experiments showing promising but limited performance in complex real-world scenarios.
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A dual-purpose benchmark supplies two text-derived knowledge graphs and one expert reference graph on the same biomedical corpus to jointly measure construction method quality and GNN robustness via semi-supervised node classification.
citing papers explorer
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BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
BLINKG is a benchmark for evaluating LLMs on mapping input data schemas to ontology concepts for knowledge graph construction, with experiments showing promising but limited performance in complex real-world scenarios.
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A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
A dual-purpose benchmark supplies two text-derived knowledge graphs and one expert reference graph on the same biomedical corpus to jointly measure construction method quality and GNN robustness via semi-supervised node classification.