/DAEGC

PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf

Primary LanguagePythonMIT LicenseMIT

DAEGC

An PyTorch implement of Attributed Graph Clustering: A Deep Attentional Embedding Approach

You can run the code on Colab Notebook

Result on Cora

Model ACC NMI F-score ARI
DAEGC 0.704 0.528 0.682 0.496
my DAEGC 0.707 0.543 0.693 0.484

Didn't run kmeans 50 times to get average score for my implement

Just take the best score

Result on Citeseer

Model ACC NMI F-score ARI
DAEGC 0.672 0.397 0.636 0.410
my DAEGC 0.687 0.417 0.643 0.441

Didn't run kmeans 50 times to get average score for my implement

Just take the best score