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Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering

Last synced: 3 days ago
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Programming Languages
Python 1
Categories
Papers 239 Other Related Papers 86 Benchmark Datasets 21 Important Survey Papers 8 Other Related Awesome Repository 6
Sub Categories
Contrastive Deep Graph Clustering 149 Other Related Methods 71 Reconstructive Deep Graph Clustering 63 Deep Clustering 41 Adversarial Deep Graph Clustering 8 Application 6 Deep Graph Clustering with Unknown Cluster Number 5 Temporal Deep Graph Clustering 4 New-architecture Deep Graph Clustering 2 LLM-based Deep Graph Clustering 1 Deep Hierarchical Clustering 1 Others 1
Keywords
temporal-networks 1 temporal-graphs 1 temporal-graph-learning 1 network-representation-learning 1 network-embedding 1 graph-neural-networks 1 graph-embedding 1 dynamic-graph 1 transductive-reasoning 1 temporal-knowledge-graph 1 multi-modal-knowledge-graph 1 knowledge-graph-reasoning 1 knowledge-graph-dataset 1 knowledge-graph-complete 1 knowledge-graph 1 interpolation-reasoning 1 inductive-reasoning 1 extrapolation-reasoning 1