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Graph Convolution Network

数学上卷积的定义是:

\[ s(t) = \int x(a) w(t-a) da \]

卷积操作常用\(s(t) = (x * w)(t)\)表示

在卷积神经网络中,the first argument \(x\) is often referred to as the input and the second argument as the kernel. The output is sometimes referred to as feature.