RS-GNNs predict random sets over classes using belief functions to jointly produce class probabilities and epistemic uncertainty estimates for graph nodes.
Reasoning with random sets: An agenda for the future.arXiv preprint arXiv:2401.09435
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The survey reviews the main contributions to learning belief measures from statistical data as an alternative to probability-based inference.
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Random-Set Graph Neural Networks
RS-GNNs predict random sets over classes using belief functions to jointly produce class probabilities and epistemic uncertainty estimates for graph nodes.
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Statistical inference with belief functions: A survey
The survey reviews the main contributions to learning belief measures from statistical data as an alternative to probability-based inference.