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Jiabin Tang

2 accepted papers

2025

GraphAgent: Agentic Graph Language Assistant

EMNLP 2025

Real-world data combines structured (e.g., graph connections) and unstructured (e.g., text, visuals) formats, capturing explicit relationships (e.g., social links) and implicit semantic interdependencies (e.g., knowledge graphs). We propose GraphAgent, an automated agent pipeline addressing both exp