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Employing graph neural networks (GNNs) to learn cohesive and discriminative node representations for clustering has shown promising results in deep graph clustering. However, existing methods disregard the reciprocal relationship between representati
Externí odkaz:
http://arxiv.org/abs/2406.15797
Publikováno v:
In Pattern Recognition December 2023 144
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-23, 23p