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Graph Clustering with Graph Neural Networks
[article]
2022
arXiv
pre-print
Graph Neural Networks (GNNs) have achieved state-of-the-art results on many graph analysis tasks such as node classification and link prediction. However, important unsupervised problems on graphs, such as graph clustering, have proved more resistant to advances in GNNs. Graph clustering has the same overall goal as node pooling in GNNs - does this mean that GNN pooling methods do a good job at clusterings graphs? Surprisingly, the answer is no - current GNN pooling methods often fail to
arXiv:2006.16904v2
fatcat:t3iw5e6scvdodi7l46mn3ylyo4