AI RESEARCH
Random-Set Graph Neural Networks
arXiv CS.AI
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ArXi:2605.11987v1 Announce Type: new Uncertainty quantification has become an important factor in understanding the data representations produced by Graph Neural Networks (GNNs). Despite their predictive capabilities being ever useful across industrial workspaces, the inherent uncertainty induced by the nature of the data is a huge mitigating factor to GNN performance.