Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network

Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network

Graph Neural Networks have drawn tremendous attention in the past few years due to their convincing performance and high interpretability in various graph-based tasks like link prediction and node classification. With the ever-growing graph size in the real world, especially for industrial graphs at...

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Bibliographic Details
Main Authors: Linyong Huang, Zhe Zhang, Shuangchen Li, Dimin Niu, Yijin Guan, Hongzhong Zheng, Yuan Xie
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Graph neural network
large-scale graph processing
memory pool
near data processing
Online Access:https://ieeexplore.ieee.org/document/9761891/

Internet

https://ieeexplore.ieee.org/document/9761891/

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