SWARM

This is the repository for the paper SWARM: A Scientific Workflow Fragments Recommendation Approach via Contrastive Learning and Semantic Matching.

Reference

If you find our codes useful, please consider citing our work

@inproceedings{gu2023swarm,
  title={SWARM: A Scientific Workflow Fragments Recommendation Approach via Contrastive Learning and Semantic Matching},
  author={Gu, Yang and Cao, Jian and Tang, Jinghua and Qian, Shiyou and Guan, Wei},
  booktitle={International Conference on Service-Oriented Computing},
  pages={54--71},
  year={2023},
  organization={Springer Nature Switzerland Cham}
}