FlowPilot: A Suggestion System for Designing Scientific Workflows
Summary: FlowPilot targets scientific-workflow authoring, where code LLMs underperform due to sparse domain-specific training data. It indexes historical workflows in a similarity KB and uses Markov-chain next-operator prediction to suggest the next step, outperforming LLM and association-rule baselines on NextFlow. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Mahdi Esmailoghli (Humboldt University of Berlin)
- 2. Matthias Weidlich (Humboldt University of Berlin)
BibTeX Citation
@inproceedings{esmailoghli_sigmod26,
title = {{FlowPilot: A Suggestion System for Designing Scientific Workflows}},
author = {Esmailoghli, Mahdi and Weidlich, Matthias},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786653},
url = {https://dl.acm.org/doi/10.1145/3786653},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 949 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.00012897365 |
| 1,742 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 9.7283207e-05 |
| 2,047 | Querying Business Processes | 2006 | VLDB | 9.1200868e-05 |
| 2,645 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 8.1641056e-05 |
| 4,005 | Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search | 2021 | VLDB | 6.8448428e-05 |
| 6,438 | CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning | 2024 | SIGMOD | 5.7678369e-05 |
| 9,108 | Texera: A System for Collaborative and Interactive Data Analytics Using Workflows | 2024 | VLDB | 5.208561e-05 |
| 9,125 | Similarity Search for Scientific Workflows | 2014 | VLDB | 5.208561e-05 |
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