Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data
Summary: Nexus aligns heterogeneous spatio-temporal tabular datasets in a large repository to support exploratory correlation discovery as a precursor to causal analysis. Key novelty: robust cross-dataset space/time alignment with missing-data handling plus ranking of “interesting” correlations, validated on Chicago open data and UN datasets. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yue Gong (University of Chicago)
- 2. Sainyam Galhotra (Cornell University)
- 3. Raul Castro Fernandez (University of Chicago)
BibTeX Citation
@inproceedings{gong_sigmod24,
title = {{Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data}},
author = {Gong, Yue and Galhotra, Sainyam and Fernandez, Raul Castro},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654957},
url = {https://dl.acm.org/doi/10.1145/3654957},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,773 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 5.2209769e-05 |
| 10,080 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB | 5.158939e-05 |
| 10,486 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 5.093636e-05 |
| 10,638 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS | 5.093636e-05 |
| 10,968 | Suna: Scalable Causal Confounder Discovery over Relational Data | 2025 | VLDB | 5.093636e-05 |
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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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