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洞見 - GRASP Model for Graph Generation
Graph Generation via Spectral Diffusion: A Novel Approach for Graph Generation Based on Spectral Decomposition and Diffusion
Graph generation model GRASP utilizes spectral decomposition and diffusion to efficiently generate graphs while overcoming computational bottlenecks.
Graph Generation via Spectral Diffusion: A Novel Approach for Graph Generative Models
The author introduces GRASP, a novel graph generative model based on spectral diffusion to efficiently generate graphs by leveraging the Laplacian spectrum. The approach aims to overcome computational bottlenecks and enhance expressivity in graph generative models.