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The train data and valid data have no intersection. Then how does the valid data get the embedding for downstream model? #111
Hi, the embeddings for [6,7] are computed as a function of the input feature of [6, 7]. The learned function is parameterized by the GraphSAGE neural network that was learned from [1, 2, 3, 4, 5] and their connectivity.
If there is no node features, constant/degree features can be used for all nodes [1 .. 7]
It seems that no info is shared between training and predicting.