A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
Topics & Concepts
Uncertainty quantificationComputer scienceFrequentist inferenceUncertainty analysisSensitivity analysisMachine learningBayesian probabilityMeasurement uncertaintyArtificial intelligenceProbabilistic logicMonte Carlo methodGraphPropagation of uncertaintyBayesian inferenceData miningAlgorithmMathematicsTheoretical computer scienceStatisticsSimulationAdvanced Graph Neural NetworksBayesian Modeling and Causal InferenceExplainable Artificial Intelligence (XAI)