Ji-Cather/GraphAgent

Code for ACL25-findings. An LLM-based agent simulation framework that simulates human behavior and generates dynamic, text-based social graphs.

36
/ 100
Emerging

Implements multi-agent simulation using AgentScope with configurable LLM backends (OpenAI, vLLM) to generate text-attributed temporal graphs that match real-world structural and textual properties. The framework validates generated graphs against seven macroscopic network properties and demonstrates 11% improvement in microscopic structure metrics compared to existing graph generation methods. Supports diverse domains—social media, e-commerce, and citation networks—with parallel execution via distributed launcher architecture and optional user-prompt-driven configuration for rapid environment setup.

No License No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

Oct 23, 2025

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