About the accuracy on the Cora dataset. about gat HOT 2 CLOSED

Hello,

Thank you for the kind words and your interest in GAT!

The pre-trained model corresponds to a single training run of GAT, and serves to demonstrate the kind of accuracy that is possible on Cora using GATs.

Conversely, the value reported in the paper is averaged after training 100 times (with different random seeds). So you can think of it as: training and evaluating GAT on Cora (with the given train/test split) will give you ~83% accuracy on average. But if you are lucky, you can achieve accuracies that are slightly higher on individual runs.

Thanks,
Petar

from gat.

Hello,

Thank you for the kind words and your interest in GAT!

The pre-trained model corresponds to a single training run of GAT, and serves to demonstrate the kind of accuracy that is possible on Cora using GATs.

Conversely, the value reported in the paper is averaged after training 100 times (with different random seeds). So you can think of it as: training and evaluating GAT on Cora (with the given train/test split) will give you ~83% accuracy on average. But if you are lucky, you can achieve accuracies that are slightly higher on individual runs.

Thanks,
Petar
Oh,I got it. Thank you for your reply!

from gat.