AI RESEARCH
Graph Query Generation with Constraint-guided Large Language Agents
arXiv CS.CL
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ArXi:2605.00845v1 Announce Type: cross Knowledge Graph Question Answering (KGQA) has advanced through structured query generation, yet most efforts target RDF/SPARQL, leaving Cypher and property graphs underexplored, despite increasing demand for unified KGQA in industry settings. We propose UniQGen, a novel constraint-based framework that employs LLM agents to dynamically extract and refine representative graph query clauses into executable, intent-aligned graph queries across query languages.