2025
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
NeurIPS 2025spotlight
Explicit noise-level conditioning is widely regarded as essential for the effective operation of Graph Diffusion Models (GDMs). In this work, we challenge this assumption by investigating whether denoisers can implicitly infer noise levels directly from corrupted graph structures, potentially elimin…