Q1: About the training parameters of other datasets
I noticed that only the hyperparameters of some datasets are released in the yaml file. Could you please release the training parameters of other datasets?
Q2: I'm trying to run this work in colab, but find F1-score can't reach 79.12.
/usr/local/lib/python3.7/dist-packages/torch_geometric/datasets/wikics.py:39: UserWarning: The WikiCS dataset now returns an undirected graph by default. Please explicitly specify 'is_undirected=False' to restore the old behaviour.
f"The {self.__class__.__name__} dataset now returns an "
Initializing and building model...
Load Dataset...
Training Model...
(T): 100%|██████████| 700/700 [07:49<00:00, 1.49it/s, loss=6.93]
Testing...
(LR): 100%|██████████| 5000/5000 [00:07<00:00, best test F1Mi=0.278, F1Ma=0.0923](E): Best test F1Mi=0.2784, F1Ma=0.0923
Q1: About the training parameters of other datasets
I noticed that only the hyperparameters of some datasets are released in the yaml file. Could you please release the training parameters of other datasets?
Q2: I'm trying to run this work in colab, but find F1-score can't reach 79.12.