GRIP: Constraint-based Explanation of Missing Answers for Graph Queries
Summary: GRIP uses constraint-based explanations to diagnose missing answers in graph queries by deriving minimal sequences of data constraints to enforce for a missing element to appear. It supports Why/How queries, incrementally maintaining bi-directional search trees for runtime explanations and an interactive GUI for exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Qi Song (Amazon)
- 2. Hanchao Ma (Case Western Reserve University)
- 3. Peng Lin (Washington State University)
- 4. Yinghui Wu (Case Western Reserve University; Pacific Northwest National Laboratory)
BibTeX Citation
@inproceedings{song_sigmod21,
title = {{GRIP: Constraint-based Explanation of Missing Answers for Graph Queries}},
author = {Song, Qi and Ma, Hanchao and Lin, Peng and Wu, Yinghui},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452758},
url = {https://dl.acm.org/doi/10.1145/3448016.3452758},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,973 | Functional Dependencies for Graphs | 2016 | SIGMOD | 7.9083516e-05 |
| 3,251 | Keys for Graphs | 2015 | VLDB | 7.5963955e-05 |
| 4,832 | Association Rules with Graph Patterns | 2015 | VLDB | 6.4877e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,824 | ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values | 2022 | SIGMOD |
| 2 | 8,042 | Grep: A Graph Learning Based Database Partitioning System | 2023 | SIGMOD |
| 3 | 4,372 | Schemaless and Structureless Graph Querying | 2014 | VLDB |
| 4 | 11,854 | Answering Why-questions by Exemplars in Attributed Graphs | 2019 | SIGMOD |
| 5 | 6,295 | Explaining Link Prediction Systems based on Knowledge Graph Embeddings | 2022 | SIGMOD |
| 6 | 322 | Fast and Practical Indexing and Querying of Very Large Graphs | 2007 | SIGMOD |
| 7 | 7,472 | AutoG: A Visual Query Autocompletion Framework for Graph Databases | 2016 | VLDB |
| 8 | 10,875 | Data-Agnostic Cardinality Learning from Imperfect Workloads | 2025 | VLDB |
| 9 | 11,918 | GExp: Cost-aware Graph Exploration with Keywords | 2018 | SIGMOD |
| 10 | 11,865 | NAVIGATE: Explainable Visual Graph Exploration by Examples | 2019 | SIGMOD |