Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models

The author introduces the Neural Graph Generator (NGG) as a novel approach utilizing conditioned latent diffusion models for graph generation, offering control over the process and demonstrating versatility across various tasks. NGG signifies a significant shift in graph generation methodologies, providing a practical and efficient solution for generating diverse graphs with specific characteristics.