UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks

arXiv:2607.26724 · cs.AI · Submitted 2026-07-29 · Read on arXiv

cs.AI

Submitted: 2026-07-29

Updated: 2026-09-01

Code: https://github.com/zhou-zl18/UrbanDS

Terminology

• Benchmark — 29× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Multi-Agent System — 12× in this paper · explained in 6 episodes
• Graph Construction — 4× in this paper · explained in 3 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Common Part of Commuters — 2× in this paper
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• DABstep: Data Agent Benchmark for Multi-step Reasoning
• LLM4DS: Evaluating Large Language Models for Data Science Code Generation
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• AI Urban Scientist: Multi-Agent Collaborative Automation for Urban Research
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
• CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

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