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Node label prediction using relational classifier and checking the assumption of homophily is reasonable for given network? Divide the node label into 3 part: Training,
Node label prediction using relational classifier and checking the assumption of homophily is reasonable for given network? Divide the node label into part: Training, Validation and Test set using Kfold cross validation set.
i Use training set for training the model
ii Use Validation set for optimization of any hyper parameter you have in your model.
iii. Use Test set only for calculating accuracy of the model Confusion matrix generation based on this
c Develop Relational classifier as explained in attached document
d Check the accuracy of unlabeled node and produce confusion matrix for this
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