Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
Abstract: Activation function plays an important role in the construction of a neural network. Existing methods such as S-type and Rectified-type activation function have many deficiencies in terms of ...
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