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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 921 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.00015261463 |
| 1,371 | Querying Business Processes | 2006 | VLDB | 0.00012335393 |
| 2,842 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 8.0366354e-05 |
| 3,254 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 7.3172324e-05 |
| 5,389 | Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search | 2021 | VLDB | 5.5339832e-05 |
| 8,739 | CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning | 2024 | SIGMOD | 4.4520434e-05 |
| 8,742 | Texera: A System for Collaborative and Interactive Data Analytics Using Workflows | 2024 | VLDB | 4.4520434e-05 |
| 8,760 | Similarity Search for Scientific Workflows | 2014 | VLDB | 4.4520434e-05 |
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