APEX-DAG: Library and Language independent Pipeline EXtraction
Summary: APEX-DAG statically extracts dataflow, transformations, and dependencies from notebooks/scripts without executing or modifying code. Combines static program analysis with graph-attention learning to generalize pipeline reconstruction across unseen libraries and languages. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,644 | Finding Related Tables in Data Lakes for Interactive Data Science | 2020 | SIGMOD | 0.00011041787 |
| 2,456 | Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities | 2021 | SIGMOD | 8.7733773e-05 |
| 2,463 | noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts | 2017 | VLDB | 8.7561396e-05 |
| 4,734 | MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines | 2021 | SIGMOD | 5.9615384e-05 |
| 6,981 | Dataset Relationship Management | 2019 | CIDR | 4.8743957e-05 |
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