TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics
Summary: TurboLynx rethinks schemaless PGMs as a first-class systems property, not just an API, integrating it across storage, optimization, and execution. Cost-based graphlets + columnar layout/graphlet-aware processing yield one engine for traversal and analytics, beating GDBMS/RDBMS baselines by large margins. (summarized by gpt-5.4-mini on Apr 12 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Taesung Lee
- 2. Jaehyun Ha
- 3. Byungchul Tak
- 4. Wook-Shin Han
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 32 of 32 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,334 | Fast In-Memory SQL Analytics on Typed Graphs | 2017 | VLDB | 5.5625443e-05 |
| 2,201 | LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms | 2016 | VLDB | 9.3042485e-05 |
| 4,017 | Columnar Storage and List-based Processing for Graph Database Management Systems | 2021 | VLDB | 6.5276062e-05 |
| 847 | The case against specialized graph analytics engines | 2015 | CIDR | 0.00015939766 |
| 7,759 | G-SQL: Fast Query Processing via Graph Exploration | 2016 | VLDB | 4.6549638e-05 |
| 11,552 | Parallel Traversal of Graphs Stored in RDBMSs | 2020 | CIDR | 4.1905499e-05 |
| 5,014 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD | 5.7519428e-05 |
| 5,573 | iTurboGraph: Scaling and Automating Incremental Graph Analytics | 2021 | SIGMOD | 5.4268881e-05 |
| 8,233 | Optimizing Schema-Last Tuple-Store Queries in Graphd | 2010 | SIGMOD | 4.5486634e-05 |
| 11,277 | Lynx: A Graph Query Framework for Multiple Heterogeneous Data Sources | 2023 | VLDB | 4.1905499e-05 |