# Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction

> 全文为英语

**Published:** 2026年10月6日
**Author:** Yassin Mohamadi, Zeno Geradts, Marcel Worring
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/discrete-diffusion-for-large-graph-generation-via-structural-candidate-r

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 most such methods have…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.04056)

**标签：** #arXiv

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