# Efficient NPN Classification for Large Functions using Graph Neural Network

> 全文为英语

**Published:** 2026年11月3日
**Author:** Chengdi Cao, Hanyu Wang, Wan-Hsuan Lin, Jason Cong
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/efficient-npn-classification-for-large-functions-using-graph-neural-netw

arXiv:2611.00339v1 Announce Type: new Abstract: Two Boolean functions are considered NPN equivalent if one can be transformed into the other by negating inputs, permuting inputs, or negating the output. Efficient NPN classification is valuable in fields such as logic synthesis,…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2611.00339)

**标签：** #arXiv

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