Higher-Order Guided Diffusion for Graph Generation: A Coarse-to-Fine Approach ... - MarkTechPost

Summary

The article explores graph generation using diffusion-based methods, highlighting challenges in maintaining topological integrity. Generative Adversarial Networks are mentioned among graph generation methods. Tags like Algebraic graph theory, Laplacian matrix, and Neural network relate to these concepts, emphasizing graph structure and neural models.