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Architecture of 1-layer GCNN model. 1-layer GCNN is composed of a graph convolution layer, a readout layer and a linear classification layer. Rectified linear unit is used as the activation function. An atomic graph is constructed for a given pocket and GCNN predicts the probability of this pocket being an allosteric site.
