basic deepwalk
2024-10-07 11:31:53
Get to know How deepwalk works by this project.
Two steps:
1. gen the graph, and gen the corpus on the graph via random walk.
2. use the corpus generated by step1 to fit the Word2vec model and calculate the similarity of two nodes.
Project link: https://gitee.com/sonica/basic-deepwalk
Read more about develop word2vec model with python: https://machinelearningmastery.com/develop-word-embeddings-python-gensim/
This blog will tell you:
- How to train your own word2vec word embedding model on text data.
- How to visualize a trained word embedding model using Principal Component Analysis.
- How to load pre-trained word2vec and GloVe word embedding models from Google and Stanford.
最新文章
- nginx-nginx脚本
- IRLS(迭代加权最小二乘)
- GCHandler的使用
- iOS上简单推送通知(Push Notification)的实现
- 约瑟夫环问题分析-C语言经典面试题
- windows 远程桌面研究
- 边工作边刷题:70天一遍leetcode: day 101
- C++复制构造函数和赋值符的区别
- docker daemonize sshd service
- windows下mysql 控制台操作
- css笔记:如何让一个div居于页面正中间
- Java多线程学习笔记--生产消费者模式
- 自定义表单-jsonform
- mysql教程
- ue4玄学画面设置实现
- jquery.load问题
- NDK开发过程自认为好的一些参考资料
- matplotlib fill和fill_between
- python 内置函数 sorted()
- Utils--Cookie工具类