Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction
arXiv:2610.04056v1 Announce Type: new Abstract: Synthesizing realistic graphs at scale is vital when the graphs of interest are large and real-world samples are limited or access-sensitive. Diffusion-based generators have recently driven much of the progress, offering high modeling capacity, but mo…
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- 2026-10-06 04:00 · arXiv cs.AI
Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction