Afaik what you're talking about is more commonly referred to as "semi-supervised learning". Transduction is a more specific case of semi-supervised learning where you know the test set, i.e. you know which data points the model will have to make predictions for. That means you can exploit this data for training the model, for example by unsupervised pre-training or with a pseudo-labeling approach.