Comments (1)
luckiezhou
commented on July 26, 2024
Embedding methods serve as feature generators for the link prediction task (i.e. classification on whether a link will emerge or not).
To build the feature vector for a specific edge, we calculate the absolute difference between the embedding vectors of the two end nodes.
Does it mean for every method, you will train different LR?
Yes, since the feature vectors are different, we have to train a different LR for each node embedding method.
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