Awesome

KAN4Graph

Implementation of Kolmogorov-Arnold Network (KAN) for Graphs. Any communications, collaborations, issues, PRs are welcomed. The contributors will be listed here. Please contact yueliu19990731@163.com. If you find this repository useful to your research or work, it is really appreciate to star this repository. :heart:

Usage

Requirements

KAN4Graph is implemented with Python3.8.16 and 1 NVIDIA Tesla V100 SXM2 16 GB

Python package information is summarized in requirements.txt:

• torch==1.7.1
• tqdm==4.59.0
• numpy==1.19.2
• munkres==1.1.4
• scikit_learn==1.2.0

Datasets

still updating...

Quick Start

clone this repository and change directory to KAN4Graph

git clone https://github.com/yueliu1999/KAN4Graph.git
cd ./KAN4Graph

run codes

python train.py

Results

still updating...

Acknowledgements

Our code are partly based on the following GitHub repository. Thanks for their awesome works.

• pykan: the official implement of KAN.
• fast-kan: the implement of KAN (fast version).
• Awesome Deep Graph Clustering: a collection of deep graph clustering (papers, codes, and datasets).
• SCGC: the official implement of Simple Contrastive Graph Clustering (SCGC) model.

Contributors

<a href="https://github.com/yueliu1999" target="_blank"><img src="https://avatars.githubusercontent.com/u/41297969?s=64&v=4" alt="yueliu1999" width="96" height="96"/></a>

If you find this repository helpful, please cite our paper.

@article{liuyue_SCGC,
  title={Simple contrastive graph clustering},
  author={Liu, Yue and Yang, Xihong and Zhou, Sihang and Liu, Xinwang},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2023},
  publisher={IEEE}
}

@misc{KAN4Graph,
  author = {Yue Liu},
  title = {KAN4Graph},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/yueliu1999/KAN4Graph}},
}