TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model
Summary: Disk-based, memory-light generator capable of trillion-edge graphs on commodity clusters (e.g., 10 PCs). Proposes a recursive vector model that generalizes RMAT/Kronecker to a scope-based framework, enabling fast, scalable generation and richer graph semantics with orders-of-magnitude gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Himchan Park (Daegu Gyeongbuk Institute of Science and Technology)
- 2. Min-Soo Kim (Daegu Gyeongbuk Institute of Science and Technology)
BibTeX Citation
@inproceedings{park_sigmod17,
title = {{TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model}},
author = {Park, Himchan and Kim, Min-Soo},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064014},
url = {https://dl.acm.org/doi/10.1145/3035918.3064014},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,323 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD | 6.7608401e-05 |
| 5,567 | iTurboGraph: Scaling and Automating Incremental Graph Analytics | 2021 | SIGMOD | 6.1709411e-05 |
| 6,566 | Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning | 2024 | SIGMOD | 5.8381749e-05 |
| 7,255 | Space-Efficient Random Walks on Streaming Graphs | 2023 | VLDB | 5.662517e-05 |
| 10,787 | cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns | 2025 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 126 | Schism: a Workload-Driven Approach to Database Replication and Partitioning | 2010 | VLDB | 0.00030779127 |
| 389 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB | 0.00019386526 |
| 426 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00018692185 |
| 471 | Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems | 2012 | SIGMOD | 0.0001793564 |
| 1,563 | LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms | 2016 | VLDB | 0.00010352314 |
| 3,740 | GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs | 2016 | SIGMOD | 7.1593902e-05 |
| 7,002 | ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks | 2016 | SIGMOD | 5.7280021e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,201 | An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs | 2022 | VLDB |
| 2 | 9,816 | TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs | 2023 | SIGMOD |
| 3 | 1,409 | TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs | 2022 | VLDB |
| 4 | 7,002 | ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks | 2016 | SIGMOD |
| 5 | 3,752 | Distributed Edge Partitioning for Trillion-edge Graphs | 2019 | VLDB |
| 6 | 594 | Massive Graph Triangulation | 2013 | SIGMOD |
| 7 | 389 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB |
| 8 | 9,301 | Accelerating Core Decomposition in Billion-Scale Hypergraphs | 2025 | SIGMOD |
| 9 | 3,393 | OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs | 2014 | SIGMOD |
| 10 | 436 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD |