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Finally, a PAR framework that doesn't just classify patient activities, but tells you *why* a set of visual cues implies a risk, complete with auditable rule traces and counterfactual interventions.
Overcome the heterogeneity hurdle: MUG pre-trains a single graph encoder that transfers across diverse heterogeneous graphs by unifying node/relation types and learning consistent structural patterns across meta-paths.
