CORONA uses LLM-generated preference and intent queries to prune the interaction graph in two stages, then applies a GNN to the remaining subgraph, achieving state-of-the-art recommendation accuracy.
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CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
CORONA uses LLM-generated preference and intent queries to prune the interaction graph in two stages, then applies a GNN to the remaining subgraph, achieving state-of-the-art recommendation accuracy.