Figure 2.

Model architecture of graph convolutional networks consisting of four parts: input, graph representation, graph convolution and output. In the input, the target residue is red and the local environment of the target residue is in a red triangle. For graph representation, node vector is blue and edge vector is green. For graph convolution, if edge vector is used, it corresponds to ^#the formula 4. Otherwise, it corresponds to the formula 3. In the output, we use the Sigmoid activation function.