AvantGraph Query Processing Engine
Summary: AvantGraph: graph-query processor for subgraph matching and navigational queries. Highlights three components: planner, cardinality estimator, and execution engine, with insights into core graph-query challenges and optimizations across diverse workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wilco v. Leeuwen
- 2. Thomas Mulder
- 3. Bram van de Wall
- 4. George Fletcher
- 5. Nikolay Yakovets
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,676 | Schema-Based Query Optimisation for Graph Databases | 2025 | SIGMOD | 4.3047774e-05 |
| 10,096 | NeuSO: Neural Optimizer for Subgraph Queries | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 690 | An Analytical Study of Large SPARQL Query Logs | 2018 | VLDB | 0.00018099792 |
| 735 | Umbra: A Disk-Based System with In-Memory Performance | 2020 | CIDR | 0.00017452467 |
| 964 | G-CORE: A Core for Future Graph Query Languages | 2018 | SIGMOD | 0.0001497475 |
| 2,275 | Adopting Worst-Case Optimal Joins in Relational Database Systems | 2020 | VLDB | 9.1262202e-05 |
| 2,772 | Quickstep: A Data Platform Based on the Scaling-Up Approach | 2018 | VLDB | 8.1401661e-05 |
| 4,280 | Query Planning for Evaluating SPARQL Property Paths | 2016 | SIGMOD | 6.2948356e-05 |
| 5,259 | On the Optimization of Recursive Relational Queries: Application to Graph Queries | 2020 | SIGMOD | 5.5984356e-05 |
| 5,493 | Worst-Case Optimal Graph Joins in Almost No Space | 2021 | SIGMOD | 5.4771449e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,037 | Querying Graph Databases | 2013 | PODS | 0.00014502493 |
| 11,670 | NAVIGATE: Explainable Visual Graph Exploration by Examples | 2019 | SIGMOD | 4.1945683e-05 |
| 3,988 | All-in-One: Graph Processing in RDBMSs Revisited | 2017 | SIGMOD | 6.5589605e-05 |
| 6,639 | Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges | 2022 | VLDB | 4.9801324e-05 |
| 7,760 | G-SQL: Fast Query Processing via Graph Exploration | 2016 | VLDB | 4.6589413e-05 |
| 10,084 | GraphMatch: Subgraph Query Processing on Steroids | 2026 | SIGMOD | 4.1945683e-05 |
| 8,960 | Computing How-Provenance for SPARQL Queries via Query Rewriting | 2021 | VLDB | 4.4206222e-05 |
| 8,625 | Generating Flexible Workloads for Graph Databases | 2016 | VLDB | 4.4830029e-05 |
| 461 | Graphs-at-a-time: Query Language and Access Methods for Graph Databases | 2008 | SIGMOD | 0.00022499343 |
| 3,036 | RapidMatch: A Holistic Approach to Subgraph Query Processing | 2021 | VLDB | 7.6735171e-05 |