2 papers
cs.AI2026
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization
David Aguado, Daniel Fuertes, Carlos R. del-Blanco +1
Neural Combinatorial Optimization (NCO) techniques have emerged as a highly efficient alternative to traditional exact algorithms for solving routing problems such as the Traveling…
cs.AI2026
On the Effectiveness of Pretraining for Graph Combinatorial Optimization
David Aguado, Daniel Fuertes, Carlos R. del-Blanco +1
This paper introduces a self-supervised pretraining framework for graph combinatorial optimization specifically designed to address the nature of routing problems like the Travelin…