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I want to do some tests on the GFN code. And I follow the lead but I want to just run on one dataset so I modified the run_exp_benchmark function and let it only run on the ENZYME dataset, and it warms me this (I also tried -test 's setting but it warmed me the same):
python
Traceback (most recent call last):
File "GFN/main.py", line 309, in <module>
run_exp_benchmark()
File "GFN/main.py", line 267, in run_exp_benchmark
run_exp_lib(create_n_filter_triples(datasets, feat_strs, nets,
File "GFN/main.py", line 158, in run_exp_lib
dataset = get_dataset(
File "/GFN/datasets.py", line 35, in get_dataset
pre_transform = FeatureExpander(
File "/GFN/feature_expansion.py", line 27, in __init__
super(FeatureExpander, self).__init__('add', 'source_to_target')
TypeError: __init__() takes from 1 to 2 positional arguments but 3 were given
With the rest of the code untouched what could be the problem?
I would appreciate it if someone can find me an answer. Thank you
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