From 0e7f7306beca3b5ce1bf624e49fef0483576c57d Mon Sep 17 00:00:00 2001 From: zhitaowang Date: Wed, 22 Dec 2021 10:57:20 +0800 Subject: [PATCH] update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e03321f..4c82fea 100644 --- a/README.md +++ b/README.md @@ -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