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From Global Search to Local Lookup: Scalable Knowledge Base Completion via Differentiable Guarded Logic

Summary: GuardNet uses guarded first-order logic to turn global rule grounding into neighborhood lookups over existing KB edges, reducing sparse-data complexity from quadratic to linear. It scales to 377K concepts while improving prediction accuracy and ontological consistency. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID
hf2b2aecb9a669eb1
Venue
SIGMOD
Year
2027
Pagerank
4.9605343e-05
Overall Rank
10,398 | 30.31%
DOI
10.1145/3837113
PDF
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BibTeX Citation

@inproceedings{zhao_sigmod27,
        title = {{From Global Search to Local Lookup: Scalable Knowledge Base Completion via Differentiable Guarded Logic}},
        author = {Zhao, Yizheng},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837113},
        url = {https://dl.acm.org/doi/10.1145/3837113},
        year = {2027}
}

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