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Accenture / AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Apache License 2.0
2.12k stars 252 forks source link

https://github.com/Accenture/AmpliGraph/blob/d4bf44559cb7178039f21203780be4eb946ea4eb/experiments/IJCAI-21/experiments.py#L12 #263

Open Diison opened 2 years ago

Diison commented 2 years ago

There is an obvious bug, how can you get the experimental results in your IJCAI paper with this wrong code?

def compare_vanilla_focusE_models(dataset, model_name, vanilla_params, focusE_params): if dataset == 'onet20k': X = load_onet20k() elif dataset == 'ppi5k': X = load_onet20k() elif dataset == 'nl27k': X = load_onet20k() elif dataset == 'cn15k': X = load_onet20k() else: raise ValueError('Invalid Dataset name!')

sumitpai commented 2 years ago

Hi, Sorry about that. It is a copy-paste issue - while compiling the snippets that were spread across in different files. You can modify the loaders, and you would get the results in the paper. We will update this in the next release.