Graph Query Generation with Constraint-guided Large Language Agents
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. The foundation of our method is a varia
Record details
Published: 9 April 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (9 April 2026), “Graph Query Generation with Constraint-guided Large Language Agents,” evidence record 6096, https://ethics.ai/record/6096 (originally published by arXiv).
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