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Bridging the gap between graph topology inference and generative modeling could unlock new avenues for innovation in graph learning.
NavMCP transforms isolated navigation rollouts into a cohesive, persistent interaction framework, leading to a 14.9 percentage point improvement over traditional episodic interfaces on long-horizon tasks.
