Fixed weight decay support
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@ -387,7 +387,7 @@ class SampleAndAggregate(GeneralizedModel):
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for var in aggregator.vars.values():
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self.loss += FLAGS.weight_decay * tf.nn.l2_loss(var)
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self.loss = self.link_pred_layer.loss(self.outputs1, self.outputs2, self.neg_outputs)
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self.loss += self.link_pred_layer.loss(self.outputs1, self.outputs2, self.neg_outputs)
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tf.summary.scalar('loss', self.loss)
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def _accuracy(self):
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