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Towards Efficient Large-Scale Graph Neural Network Computing

Towards Efficient Large-Scale Graph Neural Network Computing

19 October 2018
Lingxiao Ma
Zhi-Xin Yang
Youshan Miao
Jilong Xue
Ming Wu
Lidong Zhou
Yafei Dai
    GNN
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Papers citing "Towards Efficient Large-Scale Graph Neural Network Computing"

4 / 4 papers shown
Title
AdaGNN: A multi-modal latent representation meta-learner for GNNs based
  on AdaBoosting
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
Qinyi Zhu
Yiou Xiao
AI4CE
37
3
0
14 Aug 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
27
225
0
30 Sep 2020
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Matej Balog
B. V. Merrienboer
Subhodeep Moitra
Yujia Li
Daniel Tarlow
GNN
31
10
0
27 Jun 2019
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