LGGM: Large Graph Generative Models

Text2Graph Generation

arXiv 2024
Yu Wang, Ryan Rossi, Namyong Park, Huiyuan Chen, Nesreen K.Ahmed
Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
▶ Vanderbilt University ▶ University of Michigan ▶ Adobe Research ▶ Intel
arXiv Code Demo Dataset

🔥 LGGM-Text2Graph is a large graph generative model that supports generating graphs from textual descriptions.
❗ Currently, it supports texts controlling clustering coefficient and average degree.
🌟 More generalized version with more network statistics is coming soon!

BibTeX


  @misc{Large Graph Generative Models,
          author={Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr},
          title={Large Graph Generative Models}, 
          publisher={arXiv},
          year={2024},
  }