GLOW integrates a pre-trained GNN for candidate prediction with an LLM for joint symbolic-semantic reasoning over incomplete KGs, reporting up to 53.3% gains on standard benchmarks and a new GLOW-BENCH dataset.
InESWC, volume 10843, pages 593–607
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Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
GLOW integrates a pre-trained GNN for candidate prediction with an LLM for joint symbolic-semantic reasoning over incomplete KGs, reporting up to 53.3% gains on standard benchmarks and a new GLOW-BENCH dataset.