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Graph Clustering with Graph Neural Networks

Deep Modularity Networks model performance
Our model outperforms different pooling methods and other baselines.

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End-to-end graph clsutering with graph neural networks.

In this paper:

  • We introduce an end-to-end unsupervised clustering module for GNNs.
  • We make a thorough empirical study of performance on synthetic graphs in various regimes.
  • We show that on real graphs we obtain state-of-the-art performance.