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Graph-based methods have demonstrated exceptional performance in semi-supervised classification. However, existing graph-based methods typically construct either a predefined graph in the original ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min In a letter to customers, AEP ...

Abstract: A critical aspect of graph neural networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations ...