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Matthias Fey 12f6dcb786 | 2 months ago | |
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.. | ||
README.md | 2 months ago | |
__init__.py | 5 years ago | |
asap.py | 2 years ago | |
datasets.py | 1 year ago | |
diff_pool.py | 2 years ago | |
edge_pool.py | 2 years ago | |
gcn.py | 2 years ago | |
gin.py | 8 months ago | |
global_attention.py | 1 year ago | |
graclus.py | 2 years ago | |
graph_sage.py | 3 months ago | |
main.py | 2 years ago | |
main_performance.py | 4 months ago | |
sag_pool.py | 2 years ago | |
set2set.py | 2 years ago | |
sort_pool.py | 1 year ago | |
statistics.py | 5 years ago | |
top_k.py | 2 years ago | |
train_eval.py | 2 months ago |
Evaluation script for various methods on common benchmark datasets via 10-fold cross validation, where a training fold is randomly sampled to serve as a validation set.
Hyperparameter selection is performed for the number of hidden units and the number of layers with respect to the validation set:
Run (or modify) the whole test suite via
$ python main.py
For more comprehensive time-measurement and memory usage information, you may use
$ python main_performance.py
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