GraphRAG enhances LLMs by utilizing graph-structured external knowledge, but often faces alignment issues between graph-based and text-based latent features, especially with frozen LLMs. To address this, the authors introduce Adaptive-masking for Graph Embedding (AGE) to improve the representation of graph data for better integration with language models.