Large-scale graph label propagation on GPUs
Graph label propagation (LP) is a core component in many downstream applications such as fraud detection, recommendation and image segmentation. In this paper, we propose GLP, a GPU-based framework to enable efficient LP processing on large-scale graphs. By investigating the data processing pipeline...
Saved in:
Main Authors: | YE, Chang, LI, Yuchen, HE, Bingsheng, LI, Zhao, SUN, Jianling |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2023
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8468 https://ink.library.smu.edu.sg/context/sis_research/article/9471/viewcontent/Large_scaleGraphLabel_av.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
PARALLEL GRAPH PROCESSING ON GPUS
由: GUO WENTIAN
出版: (2019) -
GPU-accelerated subgraph enumeration on partitioned graphs
由: GUO, Wentian, et al.
出版: (2020) -
An effective and efficient parallel approach for random graph generation over GPUs
由: Bressan, S., et al.
出版: (2014) -
Accelerating exact constrained shortest paths on GPUs
由: LU, Shengliang, et al.
出版: (2020) -
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation
由: Chen, X., et al.
出版: (2013)