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papersSEP 12 04:00 UTC

Specified-Foil Counterfactuals Proposed for Temporal Graph Explanations

A new arXiv paper argues that existing counterfactual explanation methods for temporal graphs only show how to alter past events to flip a prediction, without stating what the resulting outcome should become. The authors introduce "specified-foil" counterfactuals, which target a particular alternative outcome rather than leaving the replacement undefined. The work aims to give users more actionable explanations of predicted events in time-evolving graph data.

ai-research-paperscounterfactual explanationsexplainable-aigraph neural networkstemporal-graphs

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