Observatory: Characterizing Embeddings of Relational Tables

Summary: Observatory introduces eight measurable properties grounded in relational invariants and data distributions to systematically characterize table embeddings. Evaluating nine models, it exposes sensitivity to column order, weak functional-dependency preservation, and lower sample fidelity in specialized models. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13947
Venue: VLDB
Year: 2024
Pagerank: 6.0776454e-05
Overall Rank: 5,816 | 60.10%
DOI: 10.14778/3636218.3636237

Incoming Non-self Citations Over Time

Authors

1. Tianji Cong (University of Michigan)
2. Madelon Hulsebos (University of Amsterdam)
3. Zhenjie Sun (University of Michigan)
4. Paul Groth (University of Amsterdam)
5. H. V. Jagadish (University of Michigan)

BibTeX Citation

@article{cong_vldb24,
        title = {{Observatory: Characterizing Embeddings of Relational Tables}},
        author = {Cong, Tianji and Hulsebos, Madelon and Sun, Zhenjie and Groth, Paul and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {4},
        pages = {849--862},
        doi = {10.14778/3636218.3636237},
        url = {https://doi.org/10.14778/3636218.3636237},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,343	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	0.00011095866
9,972	Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding	2025	VLDB	5.1845938e-05
10,850	Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index	2025	VLDB	5.093636e-05
11,068	Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both?	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
10	Extending the Data Base Relational Model to Capture More Meaning	1979	SIGMOD	0.0007727299
141	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.0002964847
367	InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables	2012	SIGMOD	0.00019979463
397	TURL: Table Understanding through Representation Learning	2021	VLDB	0.00019278189
420	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00018789852
618	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015711835
779	JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes	2019	SIGMOD	0.00014092047
878	Table Union Search on Open Data	2018	VLDB	0.00013463374
1,402	Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks	2020	SIGMOD	0.00010888094
1,495	LSH Ensemble: Internet-Scale Domain Search	2016	VLDB	0.00010571481
1,521	On Multi-Column Foreign Key Discovery	2010	VLDB	0.00010506299
1,923	Annotating Columns with Pre-trained Language Models	2022	SIGMOD	9.4789109e-05
2,019	RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation	2021	VLDB	9.2983994e-05
2,223	Sato: Contextual Semantic Type Detection in Tables	2020	VLDB	8.9189986e-05
2,242	CHORUS: Foundation Models for Unified Data Discovery and Exploration	2024	VLDB	8.8823802e-05
4,836	Transformers for Tabular Data Representation: A Tutorial on Models and Applications	2022	VLDB	6.4848269e-05
8,144	WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses	2023	CIDR	5.4800625e-05

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1	2,099	Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks	2024	SIGMOD
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