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Hi devlopers,
thanks for the great tool. I have one question with the fundamentals of the model architecture.
in TxGNN.py -> For finetuning, why is FullNegSampler used? because when you go to model in DistMult -> you just select specific edge types in edge_train.
Also, wouldn't it make more sense if you select the neg as contraindication and pos as indication?
Not, sure if that's what's happening in the model, difficult to interpret.
Thanks and Regards,
Onkar
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