# DyFSS

**Repository Path**: lolikiller666/DyFSS

## Basic Information

- **Project Name**: DyFSS
- **Description**: Advanced autoencoder-based methods
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-05-31
- **Last Updated**: 2026-06-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: autoencoder-based-methods

## README

# Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

PyTorch implementation of the paper "Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering".


# Get started.

```
cd DyFSS
python train.py --use_ckpt=0 --dataset='cora' --pretrain_epochs=250 --w_ssl_stage_one=0.25 --st_per_p=0.5 --lr_train_fusion=0.001 --labels_epochs=250 --w_ssl_stage_two=0.1
```

# Citation

```
@inproceedings{dyfss,
  author       = {Pengfei Zhu and
                  Qian Wang and
                  Yu Wang and
                  Jialu Li and
                  Qinghua Hu},
  title        = {Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering},
  publisher    = {{AAAI} Press},
  year         = {2024},
}
```