The most significant disadvantage of transduction is that you cannot make use of the information that you learn for the purpose of labeling new instances because you aren’t building a new model. So, whenever you have to classify a new set of instances, you’ll have to repeat the entire training. It makes a lot of sense only when your goals (the instances that you wish to understand) are specific.