This paper aims to predict optimal solutions for combinatorial optimization problems (COPs) via machine learning (ML). To find high-quality efficiently, existing work uses a ML prediction of the solution guide heuristic search, where model is trained offline under supervision solved problem instances with known solutions. sufficient accuracy, it critical provide adequate features that can effec...