A novel Solution Graph Attention Network (SGAN) approach that takes into account both intra-step and inter-step attention mechanisms, enabling a progressive construction of solutions by refining the dependencies between relevant problemsolving steps.
If you use our code or data, please cite our paper:
@article{xianyu:2024:sgan,
Author =… See the full description on the dataset page:
https://huggingface.co/datasets/chenxy99/SGAN.
