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Learning and Deducing Temporal Orders

Summary: Infers temporal orders of same-entity attribute values without full timestamps via GATE: a creator–critic loop that couples a deep-ranking model with rule-based currency deduction. The critic validates/deduces extra ordered pairs and feeds augmented labels back until convergence, boosting F‑measure (>80%) and outperforming pure deep learning and rule baselines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13238
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,434 | 21.56%
DOI
10.14778/3594512.3594524

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{fan_vldb23,
        title = {{Learning and Deducing Temporal Orders}},
        author = {Fan, Wenfei and Tugay, Resul and Wang, Yaoshu and Xie, Min and Ali, Muhammad Asif},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {8},
        pages = {1944--1957},
        doi = {10.14778/3594512.3594524},
        url = {https://doi.org/10.14778/3594512.3594524},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,647 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.2430158e-05
11,317 Rock: Cleaning Data with both ML and Logic Rules 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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