Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation
Summary: Leva constructs a relational embedding by graphifying the database and learning vectors that summarize the entire data. Downstream supervision filters noisy graph signals, reducing cross-relational feature engineering and data-discovery burden, and boosting ML performance on classification/regression tasks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,842 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 8.0366354e-05 |
| 3,982 | How Large Language Models Will Disrupt Data Management | 2023 | VLDB | 6.5595332e-05 |
| 5,439 | DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data | 2023 | SIGMOD | 5.5034427e-05 |
| 5,756 | Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System | 2025 | SIGMOD | 5.3387063e-05 |
| 7,869 | Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach | 2023 | SIGMOD | 4.6275089e-05 |
| 8,852 | Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation | 2023 | SIGMOD | 4.4313992e-05 |
| 10,760 | OmniMatch: Joinability Discovery in Data Products | 2025 | VLDB | 4.1905499e-05 |
| 10,976 | Unstructured Data Fusion for Schema and Data Extraction | 2024 | SIGMOD | 4.1905499e-05 |
| 11,057 | Enriching Relations with Additional Attributes for ER | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 514 | TURL: Table Understanding through Representation Learning | 2021 | VLDB | 0.00021280726 |
| 740 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.00017358024 |
| 901 | To Join or Not to Join? Thinking Twice about Joins before Feature Selection | 2016 | SIGMOD | 0.00015462938 |
| 1,462 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.00011866333 |
| 1,742 | Auctus: A Dataset Search Engine for Data Discovery and Augmentation | 2021 | VLDB | 0.00010695388 |
| 1,914 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD | 0.00010111859 |
| 2,142 | LSH Ensemble: Internet-Scale Domain Search | 2016 | VLDB | 9.4461701e-05 |
| 3,827 | Correlation Sketches for Approximate Join-Correlation Queries | 2021 | SIGMOD | 6.7195959e-05 |
| 4,123 | Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? | 2018 | VLDB | 6.4290005e-05 |
| 7,868 | Learning Over Dirty Data Without Cleaning | 2020 | SIGMOD | 4.6276013e-05 |
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