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Budgeted Interactive Property Graph Repair with GNN

Summary: A GNN estimates violation difficulty from graph topology and semantics to route property-graph repairs between automation and expert users. A budgeted, expertise-aware assignment maximizes expected quality; experiments improve accuracy while involving fewer users. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID
h9fa8cf906f8618a1
Venue
SIGMOD
Year
2027
Pagerank
4.9605343e-05
Overall Rank
10,385 | 30.39%
DOI
10.1145/3837100
PDF
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BibTeX Citation

@inproceedings{pachera_sigmod27,
        title = {{Budgeted Interactive Property Graph Repair with GNN}},
        author = {Pachera, Amedeo and Bonifati, Angela and Lakshmanan, Laks V.S. and Mauri, Andrea},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837100},
        url = {https://dl.acm.org/doi/10.1145/3837100},
        year = {2027}
}

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