To run the SAGN will all tricks applied, use the execute the sh file `train_ogbn_products_sagn_use_labels.sh`.

Your need to modify the following:

device: which gpu to train on
data_root_dir "The path for saving ogbn-products datasets". Default: "../../dataset"
pretrain_path "The path for loading new node feature". We assume the data is saved in .npy file. i.e. "./pretrained_node_feature.npy"
preprocess "Whether to do standardization (Std), Normalization (Norm) or no preprocessing (None)". Default: "None"

The other options can keep as default.

If we use our XRTransformer learned node featuer, use mlp_layer=1. If we use ogb default feature, use mlp_layer=3.
