Algorithm 4.

Pseudocode of CGNet framework.

Loading CNNs pre-trained on ImageNet;

Remove top layers and add new top layers for the classification task;

Train the modified CNNs on the training dataset;

Obtain features through a fully-connected layer whose output size is 1000 from the trained CNNs;

Divide features into batches of same sizes;

Build graphs in each batch of features;

Reconstruct features according to graph information;

Train neural networks with reconstructed features;

Acquire features for test set by repeat Step 4 to Step 7 on the test set;

Test the trained neural networks with the reconstructed test features.