CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression
Summary: CompressGraph is a rule-based graph analytics engine that exploits redundancy in neighbor sequences to accelerate analytics and save space. It enables reuse of intermediate results during traversal, offering expressiveness and parallelism on CPUs/GPUs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zheng Chen
- 2. Feng Zhang
- 3. Jiawei Guan
- 4. Jidong Zhai
- 5. Xipeng Shen
- 6. Huanchen Zhang
- 7. Wentong Shu
- 8. Xiaoyong Du
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,799 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB | 5.3219334e-05 |
| 9,472 | TGraph: A Tensor-centric Graph Processing Framework | 2025 | SIGMOD | 4.3341665e-05 |
| 9,484 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 4.3341665e-05 |
| 9,647 | BYO: A Unified Framework for Benchmarking Large-Scale Graph Containers | 2024 | VLDB | 4.3109001e-05 |
| 10,161 | Enabling Efficient Direct Update on Rule-Based Compressed Graph | 2026 | SIGMOD | 4.1945683e-05 |
| 10,192 | Performant Synchronization in Geo-Distributed Databases | 2026 | SIGMOD | 4.1945683e-05 |
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-05 |
| 11,026 | Improving Graph Compression for Efficient Resource-Constrained Graph Analytics | 2024 | VLDB | 4.1945683e-05 |
| 11,224 | Homomorphic Compression: Making Text Processing on Compression Unlimited | 2023 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 34 of 34 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,761 | Efficient Graph Summarization using Weighted LSH at Billion-Scale | 2021 | SIGMOD | 5.9404527e-05 |
| 10,281 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB | 4.1945683e-05 |
| 7,429 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD | 4.7320139e-05 |
| 5,040 | Tile-based Lightweight Integer Compression in GPU | 2022 | SIGMOD | 5.7425187e-05 |
| 10,663 | Inference-friendly Graph Compression for Graph Neural Networks | 2025 | VLDB | 4.1945683e-05 |
| 10,731 | GraphCSR: A Degree-Equalized CSR Format for Large-scale Graph Processing | 2025 | VLDB | 4.1945683e-05 |
| 1,579 | Query Preserving Graph Compression | 2012 | SIGMOD | 0.00011283792 |
| 4,522 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1146374e-05 |
| 10,161 | Enabling Efficient Direct Update on Rule-Based Compressed Graph | 2026 | SIGMOD | 4.1945683e-05 |
| 11,026 | Improving Graph Compression for Efficient Resource-Constrained Graph Analytics | 2024 | VLDB | 4.1945683e-05 |