metadata
license: mit
pipeline_tag: graph-ml
GNN-based Multigraph Solver - GMS
Model weights and training/test files for the ICLR2026 paper Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs.
In short, we extend end-to-end neural vehicle routing to problems defined on multigraphs.
Code and usage instructions can be found in the project Github repository.
Reference
If you find our work useful, please consider citing our paper:
@inproceedings{rydin2026beyond,
title={Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs},
author={Filip Rydin and Attila Lischka and Jiaming Wu and Morteza Haghir Chehreghani and Balázs Kulcsár},
booktitle={International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=55laGcPNZZ}
}