Universal-DB: Towards Representation Independent Graph Analytics

Summary: Universal-DB delivers representation-independent graph analytics, yielding identical entity similarity and proximity results across representations. Decouples analytics from fixed encodings, boosting portability and usability for data scientists. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11295
Venue: VLDB
Year: 2015
Pagerank: 5.3168311e-05
Overall Rank: 9,134 | 37.34%
DOI: 10.14778/2824032.2824125

Incoming Non-self Citations Over Time

Authors

1. Yodsawalai Chodpathumwan (University of Illinois Urbana-Champaign)
2. Amirhossein Aleyasen (University of Illinois Urbana-Champaign)
3. Arash Termehchy (Oregon State University)
4. Yizhou Sun (Northeastern University)

BibTeX Citation

@article{chodpathumwan_vldb15,
        title = {{Universal-DB: Towards Representation Independent Graph Analytics}},
        author = {Chodpathumwan, Yodsawalai and Aleyasen, Amirhossein and Termehchy, Arash and Sun, Yizhou},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        doi = {10.14778/2824032.2824125},
        url = {https://doi.org/10.14778/2824032.2824125},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,854	Extracting and Analyzing Hidden Graphs from Relational Databases	2017	SIGMOD	8.0350257e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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