# SLGNN

**Repository Path**: joker423/slgnn

## Basic Information

- **Project Name**: SLGNN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-28
- **Last Updated**: 2025-07-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# SLGNN

Implementation of "Signed Laplacian Graph Neural Networks", aaai2023. 

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Before uploading the code, we reproduced the experimental results in our paper, as shown in the "logging" folder.

The experimental results were achieved with the following environment:

@ Dependencies:
- [python](https://www.python.org/) (3.7.13)
- [pytorch](https://pytorch.org/get-started/previous-versions/) (1.8.0+cu111)
- [torch_sparse](https://github.com/rusty1s/pytorch_sparse) (0.6.12)
- [numpy](https://numpy.org/) (1.21.5)
- [scipy](https://www.scipy.org/) (1.6.2)
- [scikit-learn](https://scikit-learn.org/stable/) (1.0.2)

@ Hardware 
- [GPU](https://www.nvidia.com/en-us/data-center/a100/) (Nvidia A100 with 40GB)