agent/papers/items/2026-2605-00845-graph-query-generation-with-constraint-guided-large-language-agents.md

Paper: Graph Query Generation with Constraint-guided Large Language Agents

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type: paper title: Graph Query Generation with Constraint-guided Large Language Agents authors: Mengying Wang, Nicolaas Jedema, Rahul Pandey, RaviKiran Krishnan, Jens Lehmann, Yinghui Wu year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.00845 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-09 updated_at: 2026-04-09 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• reasoning
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.DB
• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: language-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, computer-use, reasoning, workflow-agent
• arXiv categories: cs.DB, cs.AI, cs.CL
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.00845