TIDE decomposes graph information into feature-specific, structure-specific, and joint components to retain only label-relevant joint signals and improve OOD detection over standard supervised learning.
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection , booktitle =
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What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition
TIDE decomposes graph information into feature-specific, structure-specific, and joint components to retain only label-relevant joint signals and improve OOD detection over standard supervised learning.