GRAPE: Parallelizing Sequential Graph Computations
Summary: GRAPE parallelizes sequential graph algorithms via a simultaneous fixed-point model, enabling partial/incremental evaluation across the graph. Unlike prior systems, it requires no algorithm rewrites; under monotonicity it terminates with correct results for plugged-in sequential algorithms; demonstrates performance vs state-of-the-art and a social-media marketing use case. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenfei Fan
- 2. Jingbo Xu
- 3. Yinghui Wu
- 4. Wenyuan Yu
- 5. Jiaxin Jiang
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,162 | Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks | 2022 | VLDB | 0.00013573136 |
| 5,302 | Distributed D-core Decomposition over Large Directed Graphs | 2022 | VLDB | 5.5746393e-05 |
| 5,573 | iTurboGraph: Scaling and Automating Incremental Graph Analytics | 2021 | SIGMOD | 5.4268881e-05 |
| 6,834 | Adaptive Asynchronous Parallelization of Graph Algorithms | 2018 | SIGMOD | 4.9072544e-05 |
| 7,694 | LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR | 2024 | SIGMOD | 4.6712753e-05 |
| 9,474 | TGraph: A Tensor-centric Graph Processing Framework | 2025 | SIGMOD | 4.3300131e-05 |
| 9,479 | Revisiting Graph Analytics Benchmark | 2025 | SIGMOD | 4.3300131e-05 |
| 9,950 | Parallel Colorful h-star Core Maintenance in Dynamic Graphs | 2023 | VLDB | 4.236537e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019040811 |
| 39 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00075263552 |
| 441 | Parallelizing Sequential Graph Computations | 2017 | SIGMOD | 0.00023172424 |
| 570 | From "Think Like a Vertex" to "Think Like a Graph" | 2014 | VLDB | 0.00019895021 |
| 1,170 | Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs | 2014 | VLDB | 0.00013526297 |
| 5,120 | Association Rules with Graph Patterns | 2015 | VLDB | 5.6754325e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,845 | Graph Analytics Through Fine-Grained Parallelism | 2016 | SIGMOD | 5.8731048e-05 |
| 3,287 | GraphScope: A Unified Engine For Big Graph Processing | 2021 | VLDB | 7.2689944e-05 |
| 2,761 | Giraph Unchained: Barrierless Asynchronous Parallel Execution in Pregel-like Graph Processing Systems | 2015 | VLDB | 8.1616217e-05 |
| 4,670 | Realtime Top-k Personalized PageRank over Large Graphs on GPUs | 2020 | VLDB | 6.0027844e-05 |
| 11,637 | Graphite: A NUMA-aware HPC System for Graph Analytics Based on a new MPI * X Parallelism Model | 2020 | VLDB | 4.1905499e-05 |
| 8,095 | Grep: A Graph Learning Based Database Partitioning System | 2023 | SIGMOD | 4.5837691e-05 |
| 10,713 | Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing | 2025 | VLDB | 4.1905499e-05 |
| 1,449 | Asynchronous Large-Scale Graph Processing Made Easy | 2013 | CIDR | 0.00011928716 |
| 6,834 | Adaptive Asynchronous Parallelization of Graph Algorithms | 2018 | SIGMOD | 4.9072544e-05 |
| 441 | Parallelizing Sequential Graph Computations | 2017 | SIGMOD | 0.00023172424 |