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GCSAE-graph clustering Files

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Name	Modified	Size
src	2025-06-04
train.py	2025-06-04	7.8 kB
README.md	2025-06-04	805 Bytes
Totals: 3 Items		8.6 kB

Graph Clustering via Similarity-Aware Embeddings (GCSAE)

Deep graph clustering via RBF-Optimized embeddings with self-supervised learning

Requirements

[!NOTE] Higher versions should be also compatible.

torch
torchvision
torchaudio
torch-scatter
torch-sparse
torch-cluster
munkres
kmeans-pytorch
Scipy
Scikit-learn

pip install -r requirements.txt

Model

framework

Reproduction

The same code can be used for Citeseer, Amazon-Photo and Amazon-Computers by changing the dataset name.

Cora !python train.py --runs 1 --dataset 'Computers' --hidden '512' --1_1 100 --l_2 --tau 0.5 --ns 0.5 --lr 0.0005 --epochs_sim 150 --epochs_cluster 150 --wd 1e-3 --alpha 0.9

Source: README.md, updated 2025-06-04

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