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News/RADE: Random Add-Drop Edge as a Regularizer
arxiv
PublishedJune 3, 2026 at 4:00 AM
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RADE: Random Add-Drop Edge as a Regularizer

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arXiv:2606.00757v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) suffer from overfitting and over-squashing of long-range information. Stochastic graph augmentations (e.g., edge deletion) regularize training against overfitting but can introduce train-inference misalignment and do no

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