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Diffusion-Free Graph Generation Model by Ten Nguyen Van is a document available to read on EtoBox.

The document presents MAG, a novel diffusion-free graph generation framework that utilizes next-scale prediction to address the challenges of traditional autoregressive models in graph generation. By leveraging a hierarchy of latent representations, MAG achieves significant improvements in efficiency and quality, outperforming existing methods in both training and inference speed. The framework demonstrates strong potential for generating high-quality graphs across various datasets without the need for expl

Author

Ten Nguyen Van

Language

EN