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Improving Graph Compression for Efficient Resource-Constrained Graph Analytics

Summary: Laconic: a rule-based parallel graph compressor that minimizes memory overhead during compression and produces much smaller graphs to reduce peak memory for analytics. Versus prior work it cuts peak memory (~70%/~66%), speeds rule compression (~93%), and achieves 2.47× compression ratio and 2.12× runtime improvements. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h19415ed7a26d8137
Venue
VLDB
Year
2024
Pagerank
5.0294306e-05
Overall Rank
10,306 | 30.92%
DOI
10.14778/3665844.3665852
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xu_vldb24,
        title = {{Improving Graph Compression for Efficient Resource-Constrained Graph Analytics}},
        author = {Xu, Qian and Yang, Juan and Zhang, Feng and Chen, Zheng and Guan, Jiawei and Chen, Kang and Fan, Ju and Shen, Youren and Yang, Ke and Zhang, Yu and Du, Xiaoyong},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {9},
        pages = {2212--2226},
        doi = {10.14778/3665844.3665852},
        url = {https://doi.org/10.14778/3665844.3665852},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00039323387
1,376 Query Preserving Graph Compression 2012 SIGMOD 0.00010857788
2,017 An Experimental Study of Bitmap Compression vs. Inverted List Compression 2017 SIGMOD 9.169662e-05
2,202 Graph Stream Summarization: From Big Bang to Big Crunch 2016 SIGMOD 8.861907e-05
2,325 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 8.625677e-05
3,316 A Distributed Multi-GPU System for Fast Graph Processing 2018 VLDB 7.415249e-05
4,030 A New Compression Method with Fast Searching on Large Databases 1987 VLDB 6.8284798e-05
4,226 GPU-based Graph Traversal on Compressed Graphs 2019 SIGMOD 6.709364e-05
4,427 Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights 2018 VLDB 6.5881915e-05
4,445 Application Driven Graph Partitioning 2020 SIGMOD 6.5804872e-05
4,820 Aggregation Algorithms for Very Large Compressed Data Warehouses 1999 VLDB 6.3880163e-05
5,576 I/O-Efficient Butterfly Counting at Scale 2023 SIGMOD 6.062102e-05
5,962 SOCQET: Semantic OLAP with Compressed Cube and Summarization 2003 SIGMOD 5.9149477e-05
6,541 CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression 2023 SIGMOD 5.7342253e-05
6,920 MILC: Inverted List Compression in Memory 2017 VLDB 5.631163e-05
6,947 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 5.6213095e-05
7,020 RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing 2024 VLDB 5.6038946e-05
7,034 A Hierarchical Contraction Scheme for Querying Big Graphs 2022 SIGMOD 5.5998447e-05
8,810 Efficacious Data Cube Exploration by Semantic Summarization and Compression 2003 VLDB 5.2574445e-05
9,193 LightRW: FPGA Accelerated Graph Dynamic Random Walks 2023 SIGMOD 5.1966793e-05
10,033 TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs 2023 SIGMOD 5.0802826e-05
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