We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
How can I get scalable defense mentioned in the paper?
The text was updated successfully, but these errors were encountered:
Hi,
Thank you for reaching out and sorry for the delay. If you refer to a specific setting please let me know. As we detail in the readme, e.g.,
python experiments/experiment_train.py with "dataset=cora_ml" "seed=0" "model_params={\"label\": \"Soft Median GDC (T=1.0)\", \"model\": \"RGNN\", \"do_cache_adj_prep\": True, \"n_filters\": 64, \"dropout\": 0.5, \"mean\": \"soft_median\", \"mean_kwargs\": {\"temperature\": 1.0}, \"svd_params\": None, \"jaccard_params\": None, \"gdc_params\": {\"alpha\": 0.15, \"k\": 64}}" "artifact_dir=cache" "binary_attr=False" "make_undirected=True"
will execute the Soft Median GDC on cora_ml.
Best, Simon
Sorry, something went wrong.
No branches or pull requests
How can I get scalable defense mentioned in the paper?
The text was updated successfully, but these errors were encountered: