Comments (2)
ghostHBL
commented on August 20, 2024
The inputs2 is the neighbor node of inputs1, and the output2 is the representations for this neighbor node, the inputs2 and output2 are only used in the training process. As the paper said, "The
graph-based loss function encourages nearby nodes to have similar representations", we need the outputs2 to compute the loss.
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RexYing
commented on August 20, 2024
The interpretation is correct. Thanks for explaining!
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