Shen Fan

Hi @HongxuChenUQ, is it possible for you to share the loss code you made for unsupervised version? Actually, I tried to combine loss_label and loss_network and found the F1 score...

@HongxuChenUQ Really appreciate that! What about your performance of F1 score?

@HongxuChenUQ Yes, I use a 2-layer NN as downstream classifier, but only achieve F1=0.31, which is much lower than End-to-End supervised version(F1=0.84) on the same embedding setting. I wonder if...

Thanks to @HongxuChenUQ, after tuning the learning rate of downstream classifier and generate a robust negative samples, the best F1 hit 0.76 for unsupervised version.

> @venomouscyanide many thanks! It works. But another Error raised after run the script `python main.py --dataset ogbl-collab --metric hit --num_step 4 --num_walk 200 --use_val`  ` from surel_gacc import...