Abstract: In this paper, I explore the application of block Krylov subspace methods to enhance the scalability and efficiency of deep graph convolutional networks (GCNs). Deep learning models, ...
Abstract: The issue of transaction security has attracted widespread attention due to the frequent occurrence of financial fraud. Graph neural networks (GNNs) can effectively detect financial ...
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