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Hello,
Thanks you for your amaeing work, i'm a phD student working on the embeddings of biomedical data particularly in immunogenetics, and currently i'm comparing tools to embed data. I found your works very interesting. I got some issues when i try to use external model from pykeen and karateclub. i got this message : ValueError: We have found an useless method in the class StubClass, implementing method HolE from library PyKEEN and task Node Embedding. It does not make sense to implement the `requires_positive_edge_weights` method when the `can_use_edge_weights` always returns False, as it is already handled in the root abstract model class.
Also for the vizualisation, when i did ``` from grape import GraphVisualizer
visualizer = GraphVisualizer(kg.remove_disconnected_nodes())
visualizer.fit_and_plot_all(embedding)
I got this warning without no visualisation: FutureWarning: The parameter `square_distances` has not effect and will be removed in version 1.3.
Thank you in advance for your answer
Gaoussou
The text was updated successfully, but these errors were encountered:
Moreover, be advised that the error you are getting is because you do not have installed PyKEEN; admittedly, it should be handled better, and I'll look into it.
Secondly, the FutureWarning error you see is a sklearn one, independent from 🍇.
Hello,
Thanks you for your amaeing work, i'm a phD student working on the embeddings of biomedical data particularly in immunogenetics, and currently i'm comparing tools to embed data. I found your works very interesting. I got some issues when i try to use external model from pykeen and karateclub. i got this message :
ValueError: We have found an useless method in the class StubClass, implementing method HolE from library PyKEEN and task Node Embedding. It does not make sense to implement the `requires_positive_edge_weights` method when the `can_use_edge_weights` always returns False, as it is already handled in the root abstract model class.
Also for the vizualisation, when i did ``` from grape import GraphVisualizer
visualizer = GraphVisualizer(kg.remove_disconnected_nodes())
visualizer.fit_and_plot_all(embedding)
The text was updated successfully, but these errors were encountered: