Generating intervention hypotheses using explainable explanations on graphs: G2I, a two-stage greedy framework
Read the original at arxiv.org→arXiv:2608.23835v1 Announce Type: new Abstract: Real-world decision-making in public health and social science can greatly benefit from predictive models, yet translating predictions into effective interventions...
Original headline: "Generating Intervention Hypotheses using Explainable Explanations on Graphs: G2I, a Two-Stage Greedy Framework"
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- Aug 26, 04:00 UTC arXiv cs.LG lead source Generating Intervention Hypotheses using Explainable Explanations on Graphs: G2I, a Two-Stage Greedy Framework