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RESEARCH · CL_29310 · May 12 · 11:38

Random-Set GNNs enhance uncertainty quantification in graph learning

Researchers have introduced Random-Set Graph Neural Networks (RS-GNNs) to address uncertainty quantification in graph learning. This new framework models node-level epistemic uncertainty using a belief function formalis…