---
# System prepended metadata

title: gpt_killer

---

# gpt_killer

## Proposal
- papers given document description


### intoduction


### methodology

WAN 工作原理

简单的说，WAN 是把文本转换成了网络。

对于每一个作者，都会有一个网络

classification原理：对于一个未知文本，首先计算WAN，与已知作者比较，找出最相似的那个

### idea from zhang chi

用新的办法构建word graph,不用WAN 而是其他办法比如











## Questions field

数据维度不统一，如何处理？
## maybe we can use some ways to reduce dimensionality such as edgenet filter to increase sparasity of matrix and keep important nodes
![](https://hackmd.io/_uploads/ryeqlo4rh.png)

224 function words(maybe we can adjust the num of function words )



![](https://hackmd.io/_uploads/HkJbgYWSh.png)

but for data only 211

![](https://hackmd.io/_uploads/H1sz_F-S3.png)



need to construct WAN for chatgpt, but unknown data. only given network.







