Methods based on graph neural networks for solving combinatorial optimization (CO) problems have exhibited promising results in tackling a range of NP-hard problems, eliminating the necessity for ...

Data augmentation has been successfully utilized to refine the generalization capability and performance of learning algorithms in image and text analysis. With the rising focus on graph neural ...