AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning
arXiv:2604.05846v2 Announce Type: replace
Abstract: Large Language Models (LLMs) increasingly rely on agentic capabilities-iterative retrieval, tool use, and decision-making-to overcome the limits of static, parametric knowledge. Yet existing agentic …