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mit

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

gcn surveys clustering data-mining deep-learning deep-clustering graph-embedding graphclustering machine-learning network-embedding graph-neural-networks data-mining-algorithms representation-learning self-supervised-learning graph-convolutional-networks

Created 2021-11-24

411 commits to main branch, last one 28 days ago

214

unknown

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

clustering data-mining deep-learning deep-clustering graphclustering graph-clustering machine-learning network-embedding contrastive-learning graph-neural-networks unsupervised-learning representation-learning self-supervised-learning

Created 2022-11-29

15 commits to main branch, last one 2 years ago