DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition
Jingji Chen, Xuehai Qian
2023年份
16被引次数
11顶会引用
摘要
Graph pattern mining (GPM) is an important application that identifies structures from graphs. Despite the recent progress, the performance gap between the state-of-the-art GPM systems and an efficient algorithm—pattern decomposition—is still at least an order of magnitude. This paper clears the fundamental obstacles of adopting pattern decomposition to a GPM system.
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- PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory HardwareShuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu GaoSIGMOD 2024 · 被引用 18 次
- Cyclosa: Redundancy-Free Graph Pattern Mining via Set DataflowChuangyi Gui, Xiaofei Liao, Long Zheng, Hai JinUSENIX ATC 2023 · 被引用 11 次
- Contigra: Graph Mining with Containment ConstraintsJoanna Che, Kasra Jamshidi, Keval VoraEuroSys 2024 · 被引用 7 次
- Accurate and Fast Approximate Graph Pattern Mining at ScaleAnna Arpaci-Dusseau, Zixiang Zhou, Xuhao ChenVLDB 2025 · 被引用 6 次
- OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern MiningHao Qi, Kang Luo, Ligang He, Yu Zhang 等EuroSys 2025 · 被引用 1 次
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