High Performance Distributed OLAP on Property Graphs with Grasper
Summary: RDMA-enabled distributed graph OLAP system for property graphs, Grasper, tackles bottlenecks of low parallelism and high network overheads. It reveals the drivers of Grasper’s performance and offers design insights for efficient graph OLAP by comparing with existing systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hongzhi Chen
- 2. Bowen Wu
- 3. Shiyuan Deng
- 4. Chenghuan Huang
- 5. Changji Li
- 6. Yichao Li
- 7. James Cheng
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,287 | GraphScope: A Unified Engine For Big Graph Processing | 2021 | VLDB | 7.2739447e-05 |
| 4,503 | Testing Graph Database Systems via Graph-Aware Metamorphic Relations | 2024 | VLDB | 6.1349827e-05 |
| 5,064 | G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture | 2022 | VLDB | 5.7261007e-05 |
| 5,231 | ByteGraph: A High-Performance Distributed Graph Database in ByteDance | 2022 | VLDB | 5.6145466e-05 |
| 5,728 | Circinus: Fast Redundancy-Reduced Subgraph Matching | 2023 | SIGMOD | 5.3507988e-05 |
| 8,238 | Galaxybase: A High Performance Native Distributed Graph Database for HTAP | 2024 | VLDB | 4.5527159e-05 |
| 9,518 | Banyan: A Scoped Dataflow Engine for Graph Query Service | 2022 | VLDB | 4.3328897e-05 |
| 9,604 | GeaFlow: A Graph Extended and Accelerated Dataflow System | 2023 | SIGMOD | 4.3177432e-05 |
| 11,464 | Vertex-Centric Visual Programming for Graph Neural Networks | 2021 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 536 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00020722862 |
| 6,709 | Big Graph Analytics Systems | 2016 | SIGMOD | 4.9529145e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 37 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.0007522744 |
| 11,779 | A Demonstration of Lusail - Querying Linked Data at Scale | 2017 | SIGMOD | 4.1945683e-05 |
| 12,403 | When is it Time to Rethink the Aggregate Configuration of Your OLAP Server? | 2008 | VLDB | 4.1945683e-05 |
| 2,844 | Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads | 2015 | VLDB | 8.0243849e-05 |
| 4,830 | Systems for Big-Graphs | 2014 | VLDB | 5.8924342e-05 |
| 6,496 | GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP | 2024 | SIGMOD | 5.0413077e-05 |
| 7,866 | Operational Analytics Data Management Systems | 2016 | VLDB | 4.6321795e-05 |
| 5,338 | Fast In-Memory SQL Analytics on Typed Graphs | 2017 | VLDB | 5.5629772e-05 |
| 9,863 | Large Scale Graph Mining with G-Miner | 2019 | SIGMOD | 4.2682525e-05 |
| 11,736 | Declarative and distributed graph analytics with GRADOOP | 2018 | VLDB | 4.1945683e-05 |