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LLMs can be directly used as graph kernels for text-rich graphs, enabling message passing on raw text and outperforming methods that rely on static embeddings.
By explicitly considering feature observability, UAVs can achieve 30% higher coverage in feature-limited environments before odometry error exceeds acceptable thresholds.
