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update README.md
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zhitao-wang committed Dec 22, 2021
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Expand Up @@ -30,7 +30,7 @@ The performance of "**PLNLP (val as input)**" on the leader board can be reprod

python main.py --data_name=ogbl-collab --predictor=DOT --use_valedges_as_input=True --year=2010 --train_on_subgraph=True --epochs=800 --eval_last_best=True --dropout=0.3

Furthermore, we sample high-order pairs with random walk and employ them as a kind of data augmentation. This augmentation method improve the performance significantly. To reproduce the performance of "**PLNLP (random walk aug.)**" on the leader board, you can use the following command:
Furthermore, we sample high-order pairs with random walk and employ them as a kind of data augmentation. This augmentation method improves the performance significantly. To reproduce the performance of "**PLNLP (random walk aug.)**" on the leader board, you can use the following command:

python main.py --data_name=ogbl-collab --predictor=DOT --use_valedges_as_input=True --year=2010 --train_on_subgraph=True --epochs=800 --eval_last_best=True --dropout=0.3 --gnn_num_layers=1 --grad_clip_norm=1 --use_lr_decay=True --random_walk_augment=True --walk_length=10

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