Human-Centric Graph Repairs

Modern data-intensive applications rely on graph databases, yet graphs frequently contain inconsistencies that violate structural constraints. My work addresses this from a human-centric perspective: rather than fully automated fixes, I develop interactive repair frameworks that keep users in control of the process.

Key research questions

How can we design repair systems that are transparent and explainable to non-expert users?
How can constraint violations be detected and resolved interactively, at scale?
What role can Large Language Models play in assisting constraint mining and repair?

Selected work

Grafixer (Pachera et al., 2025) — a system enabling user-centric repairs for property graphs, presented as a demo at SIGMOD 2025.
User-Centric Property Graph Repairs (Pachera et al., 2025) — a full framework for interactive repair of property graphs, published in SIGMOD 2025.
Interactive Graph Repairs for Neighborhood Constraints (Juillard et al., 2024) — introducing neighborhood-based constraint repair at EDBT 2024.
Graph Consistency Rule Mining with LLMs (Le et al., 2025) — using LLMs to assist in mining graph constraints, at EDBT 2025.

References

2025

SIGMOD

Grafixer: Enabling User-Centric Repairs for Property Graphs

Amedeo Pachera, Angela Bonifati, and Andrea Mauri

In Companion of the 2025 International Conference on Management of Data (SIGMOD), 2025

Bib

@inproceedings{pachera2025grafixer,
  title = {Grafixer: Enabling User-Centric Repairs for Property Graphs},
  author = {Pachera, Amedeo and Bonifati, Angela and Mauri, Andrea},
  booktitle = {Companion of the 2025 International Conference on Management of Data (SIGMOD)},
  pages = {199--202},
  year = {2025},
}

SIGMOD

User-Centric Property Graph Repairs

Amedeo Pachera, Angela Bonifati, and Andrea Mauri

Proceedings of the ACM on Management of Data (SIGMOD), 2025

Bib

@article{pachera2025user,
  title = {User-Centric Property Graph Repairs},
  author = {Pachera, Amedeo and Bonifati, Angela and Mauri, Andrea},
  journal = {Proceedings of the ACM on Management of Data (SIGMOD)},
  volume = {3},
  number = {1},
  pages = {1--27},
  year = {2025},
  publisher = {ACM},
}

EDBT

Graph Consistency Rule Mining with LLMs: an Exploratory Study

Hoa Thi Le, Angela Bonifati, and Andrea Mauri

In 28th International Conference on Extending Database Technology (EDBT), 2025

Bib

@inproceedings{le2025graph,
  title = {Graph Consistency Rule Mining with LLMs: an Exploratory Study},
  author = {Le, Hoa Thi and Bonifati, Angela and Mauri, Andrea},
  booktitle = {28th International Conference on Extending Database Technology (EDBT)},
  year = {2025},
}

2024

EDBT

Interactive Graph Repairs for Neighborhood Constraints

Paul Juillard, Angela Bonifati, and Andrea Mauri

In 27th International Conference on Extending Database Technology (EDBT), 2024

Bib

@inproceedings{juillard2024interactive,
  title = {Interactive Graph Repairs for Neighborhood Constraints},
  author = {Juillard, Paul and Bonifati, Angela and Mauri, Andrea},
  booktitle = {27th International Conference on Extending Database Technology (EDBT)},
  pages = {175--187},
  year = {2024},
}