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)
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Authors
- 1. Amedeo Pachera (Claude Bernard Lyon 1 University)
- 2. Angela Bonifati (Claude Bernard Lyon 1 University)
- 3. Laks V.S. Lakshmanan (University of British Columbia)
- 4. Andrea Mauri (Claude Bernard Lyon 1 University)
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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