Creative Commons Zero v1.0 Universal

项目介绍

benedekrozemberczki/awesome-graph-classification 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Creative Commons Zero v1.0 Universal 许可证,目前获得 4.8k 个 Star、705 次 Fork。

仓库全名
benedekrozemberczki/awesome-graph-classification
开源许可证
Creative Commons Zero v1.0 Universal
Star 数
4.8k
Fork 数
705

README 摘要

Awesome Graph Classification A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available [[here]](https://github.com/shiruipan/graphdatasets). Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search,…

完整内容见 GitHub 原始 README 或本页 。

常见问题

awesome-graph-classification 用什么语言开发?

主要使用 Python 编写,采用 Creative Commons Zero v1.0 Universal 许可证,目前有 4.8k 个 Star。

awesome-graph-classification 可以免费商用吗?

仓库标注的许可证为 Creative Commons Zero v1.0 Universal,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 awesome-graph-classification 的源码?

可以直接克隆仓库:git clone https://github.com/benedekrozemberczki/awesome-graph-classification.git,默认分支为 master;安装与运行步骤见仓库 README。

awesome-graph-classification 最近还在维护吗?

仓库最近一次更新为 2023年3月18日,当前没有未关闭的 Issue;Star 数为 4.8k,可作为社区活跃度的参考。

README

Awesome Graph Classification

Awesome PRs Welcome License repo size benedekrozemberczki

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations.

Relevant graph classification benchmark datasets are available [here].

Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.


Contents

  1. Matrix Factorization
  2. Spectral and Statistical Fingerprints
  3. Deep Learning
  4. Graph Kernels

License

评论

暂无评论