gnn-comparison/experiments/Experiment.py
def run_valid(self, get_train_val, logger, other=None):
        """
        This function returns the training and validation accuracy. DO WHATEVER YOU WANT WITH VL SET,
        BECAUSE YOU WILL MAKE PERFORMANCE ASSESSMENT ON A TEST SET
        :return: (training accuracy, validation accuracy)
        """
        raise NotImplementedError('You must implement this function!')

        This function returns the training and validation accuracy. DO WHATEVER YOU WANT WITH VL SET,
        BECAUSE YOU WILL MAKE PERFORMANCE ASSESSMENT ON A TEST SET
        :return: (training accuracy, validation accuracy)
        
This function returns the training and validation accuracy.
This function returns the training and validation accuracy .
def run_valid(self, get_train_val, logger, other=None):
        raise NotImplementedError('You must implement this function!')
def run_valid ( self , get_train_val , logger , other = None ) : raise NotImplementedError ( 'You must implement this function!' )
This function returns the training and validation accuracy.
This function returns the training and validation accuracy .
"""
        This function returns the training and validation accuracy. DO WHATEVER YOU WANT WITH VL SET,
        BECAUSE YOU WILL MAKE PERFORMANCE ASSESSMENT ON A TEST SET
        :return: (training accuracy, validation accuracy)
        """
(training accuracy, validation accuracy)
( training accuracy validation accuracy )
self
get_train_val
logger
other