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LLaTA: Unlocking Graph Structure Learning with Tree-Guided Large Language Models
The emergence of large language models (LLMs) has popularized text-attributed graphs (TAGs), creating an urgent need for graph structure learning (GSL) methods that effectively leverage textual information. However, existing GSL approaches are designed for traditional graphs without text, and adapti
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