gtrick: Bag of Tricks for Graph Neural Networks.

gtrick is an easy-to-use Python package collecting tricks for Graph Neural Networks. It tests and provides powerful tricks to boost your models' performance.

Trick is all you need! (English Document | 中文介绍)

Library Highlights

• Easy-to-use: All it takes is to add a few lines of code to apply a powerful trick, with as little changes of existing code as possible.
• Verified Trick: All tricks implemented in gtrick are tested on our selected datasets. Only the tricks indeed improving model's performance can be collected by gtrick.
• Backend Free: We provide all tricks both in DGL and PyG. Whatever graph learning library you use, feel free to try it.

Installation

Note: This is a developmental release.

pip install gtrick

Quick Start

It is very easy to get start with gtrick. You can enhance your GNN model with only a few lines of code.

For more detailed examples, see Example in Trick.

Trick

We have tested all these tricks on selected datasets, you can find the benchmark in PyG Benchmark and DGL Benchmark.

Contributing

Please let me know if you encounter a bug or have any suggestions by filing an issue.

I welcome all contributions from bug fixes, new tricks and better examples.

There are also some trciks I'm planning to add, feel free to implement one of them for gtrick:

• SCR
• GSAT
• Edge Proposal Set