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ENTITY Geometrically Unconstrained Inductive Demand EmbeDding

Geometrically Unconstrained Inductive Demand EmbeDding

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  1. RESEARCH · CL_156401 ·

    New GUIDED layer enhances GNNs for traffic assignment, cuts training time

    Researchers have developed a novel network-agnostic initialization layer called Geometrically Unconstrained Inductive Demand EmbeDding (GUIDED) to address the spatial generalization gap in Graph Neural Networks (GNNs) u…