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Fixed memory weights in neural operators can hinder performance, but AMGFNO's dynamic gating adapts memory usage to drastically improve accuracy based on resolution.
Forget training a GNN for every new graph: NodePFN learns universal node classification from synthetic graph priors, generalizing across diverse datasets without graph-specific training.