This repository aggregates research on using ML techniques to solve combinatorial optimization problems such as the traveling salesman problem, vehicle routing, job shop scheduling, and graph matching. Maintained by SJTU-Thinklab research group, it catalogs survey papers, benchmark problems, and learning-based solvers including deep reinforcement learning and graph neural network approaches. The list also covers generalization challenges in learned combinatorial solvers.