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Hakken's prediction model establishes a new benchmark for time-aware multi-label relation prediction, and it is shown that the model's output stays coherent and informative over extended time spans in historic data.
This thesis addresses the challenge of making link prediction models correct for the correct reasons with the help of human feedback by proposing a technical and conceptual pipeline in which model explanations serve as interfaces for collecting and incorporating user feedback to iteratively align model behaviour with h...
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