Question about the step to update the GNN and the Graph Editor about graphood-eerm

[qitianwu]

Hi Mingxuan,

Thank you for carefully checking the technical details. After double check, I think you are correct and the mentioned line should be "m == args.T - 1" to resolve the inconsistency for T>1.

In our experiments, we found that the model is kind of sensitive to different setups for the graph editors which highly depends on the experimental datasets (given the diversity of our used datasets). Therefore, the value of T and whether to use reset for graph editors are differently used among different datasets. In some cases of our experiments (e.g., arxiv and cora), indeed, the graph editors were not optimized and can still yield competitive performance. The reason could be that the graph editors with random initialization can still augment the input data that explores the contexts and enable effective learning of the outer optimization (the main objective for ood generalization).

[jumxglhf]

Yes it looks like graph editors with random parameters still work. Thanks for the clarification!