LSS-SKAN
October 25, 2024 · View on GitHub
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Statement
This is the experimental code for the paper "LSS-SKAN: Efficient Kolmogorov–Arnold Networks based on Single-Parameterized Function" [1]. It includes:
- the preliminary experiment (preExp.py),
- Experiment 1 - Comparison of various SKANs under 10-epoch training (LSS_SKAN_10epoch_skans.py),
- Experiment 2 - Comparison of LSS-SKAN with other popular KAN variants under 10-epoch training (LSS_SKAN_10epoch.py),
- Experiment 3 - Comparison of LSS-SKAN with other popular KAN variants under 30-epoch training (LSS_SKAN_30epoch_lr000101.py).
If you're looking for a Python library to quickly build SKAN, click here to visit the GitHub repository of the skan library.
This library references code from WavKAN [2], EfficientKAN [3], FastKAN [4], and FourierKAN [5]. These codes are placed in the modelnetwork folder and are mainly used for model comparison. The paper also compares fKAN [6] and rKAN [7], which are called as Python libraries.
Usage
This code runs under Python 3.12.3. To use the library code, make sure you have the following Python libraries installed:
fkan==0.0.2
numpy==2.1.2
pandas==2.2.3
rkan==0.0.3
scikit-learn==1.5.2
torch==2.4.1+cu121
torchvision==0.19.1+cu121
tqdm==4.66.4
Then execute the scripts to run the code:
python preExp.py
python LSS_SKAN_10epoch_skans.py
python LSS_SKAN_10epoch.py
python LSS_SKAN_30epoch_lr000101.py
This will run the four experiments from the paper.
File Description
LSS_SKAN_Experiment_Code
├─ LSS_SKAN_10epoch.py # Experiment 2 - Comparison of LSS-SKAN with other popular KAN variants under 10-epoch training
├─ LSS_SKAN_10epoch_skans.py # Experiment 1 - Comparison of various SKANs under 10-epoch training
├─ LSS_SKAN_30epoch_lr000101.py # Experiment 3 - Comparison of LSS-SKAN with other popular KAN variants under 30-epoch training
├─ preExp.py # Preliminary experiment code
└─ modelnetwork # Network implementation code folder
├─ efficientKAN.py
├─ fastkan.py
├─ fftKAN.py
├─ skan_exp_version.py # SKAN network implementation code
└─ wavKAN.py
Reference
[1] Chen Z, Zhang X. LSS-SKAN: Efficient Kolmogorov-Arnold Networks based on Single-Parameterized Function[J]. arXiv preprint arXiv:2410.14951, 2024.
[2] WavKAN, https://github.com/zavareh1/Wav-KAN
[3] EfficientKAN, https://github.com/Blealtan/efficient-kan
[4] FastKAN, https://github.com/ZiyaoLi/fast-kan
[5] FourierKAN, https://github.com/GistNoesis/FourierKAN
[6] fkan, https://github.com/alirezaafzalaghaei/fKAN
[7] rkan, https://github.com/alirezaafzalaghaei/rKAN