RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem

RELAGRAM introduces a Recursive Latent Graph Model for solving complex vehicle routing problems by treating routes as edge tokens. It uses a compact transformer that updates latent representations of these tokens recursively, maintaining two states to guide the search. This approach demonstrates that latent recursion is a promising method for neural routing in combinatorial optimization.

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