yueliu1999/Awesome-Deep-Graph-Clustering
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[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
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Maintenance15
Popularity25
#clustering#data-mining#data-mining-algorithms#deep-clustering#deep-learning#gcn#graph-convolutional-networks#graph-embedding#graph-neural-networks#graphclustering#machine-learning#network-embedding#representation-learning#self-supervised-learning#surveys
Should you contribute to yueliu1999/Awesome-Deep-Graph-Clustering?
yueliu1999/Awesome-Deep-Graph-Clustering has a FoundDev health score of 90/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
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