An End-to-End Learning-based Cost Estimator
Summary: End-to-end learning-based cost estimator with a tree-structured model that jointly estimates cost and cardinality. Features span queries and physical operators; a pattern-based string embedding handles predicates without enumerating values, yielding superior accuracy over baselines on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ji Sun
- 2. Guoliang Li
Incoming Citations (Sorted by Pagerank)
Showing 4 of 104 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,859 | Graph Transformers for Query Plan Representation: Potentials and Challenges | 2025 | VLDB | 4.1945683e-05 |
| 10,868 | LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison | 2025 | VLDB | 4.1945683e-05 |
| 10,880 | RankPQO: Learning-to-Rank for Parametric Query Optimization | 2025 | VLDB | 4.1945683e-05 |
| 11,350 | DeepO: A Learned Query Optimizer | 2022 | SIGMOD | 4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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