Karate Club is an unsupervised machine learning extension library for NetworkX.
Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.
What is this Python project?
Unsupervised learning for graph structured data:
Node embedding
Community detection
Graph embedding
Built on NetworkX and has a Scikit-Learn like API.
What's the difference between this Python project and similar ones?
There is no similar project.
--
Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1461
**Author:** [@benedekrozemberczki](https://github.com/benedekrozemberczki)
**Created:** 1/25/2020
**Status:** ✅ Merged
**Merged:** 4/7/2020
**Merged by:** [@vinta](https://github.com/vinta)
**Base:** `master` ← **Head:** `patch-1`
---
### 📝 Commits (1)
- [`c041ba4`](https://github.com/vinta/awesome-python/commit/c041ba4117b9f3ed8137f7a32bf2b6bbf111b108) Add Karate Club
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
Karate Club is an unsupervised machine learning extension library for NetworkX.
Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.
## What is this Python project?
Unsupervised learning for graph structured data:
- Node embedding
- Community detection
- Graph embedding
Built on NetworkX and has a Scikit-Learn like API.
## What's the difference between this Python project and similar ones?
There is no similar project.
--
Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1461
Author: @benedekrozemberczki
Created: 1/25/2020
Status: ✅ Merged
Merged: 4/7/2020
Merged by: @vinta
Base:
master← Head:patch-1📝 Commits (1)
c041ba4Add Karate Club📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Karate Club is an unsupervised machine learning extension library for NetworkX.
Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.
What is this Python project?
Unsupervised learning for graph structured data:
Built on NetworkX and has a Scikit-Learn like API.
What's the difference between this Python project and similar ones?
There is no similar project.
--
Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.