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As far as I can tell, the "features" of the edges have already been encoded perhaps the features have some meaning explained elsewhere but I could not find it The lack of features means it will make it a bit difficult to explain the model. For example, the model results might conclude "features 17, 44 and 67 are the most important contributors to model performance".
The text was updated successfully, but these errors were encountered:
As far as I can tell, the "features" of the edges have already been encoded perhaps the features have some meaning explained elsewhere but I could not find it The lack of features means it will make it a bit difficult to explain the model. For example, the model results might conclude "features 17, 44 and 67 are the most important contributors to model performance".
The text was updated successfully, but these errors were encountered: