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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},
}