Papers by Jialing Bi

1 papers
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models (2025.findings-acl)

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Challenge: Social graphs are mathematical structures stem from pairwise interactions between entities through nodes and edges.
Approach: They propose a framework for dynamic, text-attributed social graph generation that simulates the temporal node and edge generation processes for zero-shot social graphs.
Outcome: The proposed framework improves macroscopic graph structure metrics by 11% . the proposed model can generate graphs with up to 100,000 nodes or 10 million edges .

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