GraphReview models paper evaluation as LLM-driven message passing on a semantic paper graph that links intrinsic quality, contemporaneous papers, and prior work, then applies Personalized PageRank for ranking and review generation.
The results reported in Table 9 and 10 show that graph-based fusion consistently integrates hetero- geneous review signals and outperforms each indi- vidual method on most metrics
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GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing
GraphReview models paper evaluation as LLM-driven message passing on a semantic paper graph that links intrinsic quality, contemporaneous papers, and prior work, then applies Personalized PageRank for ranking and review generation.