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Table Overlap Estimation through Graph Embeddings

Summary: Armadillo uses graph neural networks to learn table representations. Cosine similarity between embeddings estimates the overlap ratio; introduces GitTables- and Wikipedia-based datasets (1.32M pairs) and yields speedups over Sloth with strong accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7280
Venue
SIGMOD
Year
2025
Pagerank
4.1905499e-05
Overall Rank
10,519 | 26.90%
DOI
10.1145/3725365

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Showing 19 of 19 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
814 Finding Related Tables 2012 SIGMOD 0.00016298739
936 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00015197838
1,179 Table Union Search on Open Data 2018 VLDB 0.00013458551
1,185 JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes 2019 SIGMOD 0.00013432692
1,214 Truth Finding on the Deep Web: Is the Problem Solved? 2013 VLDB 0.00013246179
1,643 Finding Related Tables in Data Lakes for Interactive Data Science 2020 SIGMOD 0.00011031534
1,914 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010111859
2,513 Annotating Columns with Pre-trained Language Models 2022 SIGMOD 8.6155767e-05
2,842 Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning 2023 VLDB 8.0366354e-05
3,001 SANTOS: Relationship-based Semantic Table Union Search 2023 SIGMOD 7.739698e-05
3,326 DeepJoin: Joinable Table Discovery with Pre-trained Language Models 2023 VLDB 7.2148323e-05
3,520 GitTables: A Large-Scale Corpus of Relational Tables 2023 SIGMOD 7.0136102e-05
3,765 Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins 2022 VLDB 6.7760748e-05
4,860 Integrating Data Lake Tables 2023 VLDB 5.867964e-05
5,457 Transformers for Tabular Data Representation: A Tutorial on Models and Applications 2022 VLDB 5.4960654e-05
5,520 Exploring Change – A New Dimension of Data Analytics 2019 VLDB 5.4680662e-05
6,268 MATE: Multi-Attribute Table Extraction 2022 VLDB 5.1288179e-05
10,954 Determining the Largest Overlap between Tables 2024 SIGMOD 4.1905499e-05
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