Sorry for my simple question. My question is that in GraphSage paper, they talked about graphsage being inductive. Is Graphsage needs all of its training time samples in memory during testing? If not, how does it performs test? Since in its algorithm 1, in the paper, the authors proposed Aggregate and concatenation operators, from neighboring nodes, which they must be in memory during testing. Otherwise, there must be other forward propagation algorithm specifically for test, which I didn't find in the paper. Thank you for any comments or answers.
In this colab notebook link, they passed all of the training, validation and test data to the model for testing. Are we always have to keep all information given to the model?
