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In-n-Out: Calibrating Graph Neural Networks for Link Prediction
While networks for tabular or image data are usually overconfident, recent works have shown that graph neural networks (GNNs) show the opposite behavior for node-level classification.
Online graph nets
To avoid temporal message passing, OGN maintains a summary of the temporal neighbors of each node in a latent variable and updates it as events unroll, in an online fashion.
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