Logic-Guided Graph Denoising Diffusion Models
Graph diffusion models are competitive approaches for generating complex graph-structured data. However, when such distributions have strict structural constraints, diffusion models may fail to capture them exactly, resulting in the generation of invalid graphs. In this paper, we propose a method for grounding graph di...
Samuel Cognolato, Luciano Serafini, Alessandro Sperduti et al.
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