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I guess this depends on how you implement the Label Propagation model. We follow this code to implement it. In general, adding residuals to the initial labels makes a lot of sense, as it avoids that labels are smoothed too heavily, e.g., in each iteration we re-inject the ground-truth labels to the output to some extend. This will help the model to make better predictions on nearby nodes in homophily graphs. |
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In your implementation of label propagation, do we need to update
res
for each propagation? Sinceres
is always the initialy
in each propagation.Beta Was this translation helpful? Give feedback.
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