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Hector: An Efficient Programming and Compilation Framework for
  Implementing Relational Graph Neural Networks in GPU Architectures
v1v2v3 (latest)

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures

16 January 2023
Kun Wu
Mert Hidayetoğlu
Xiang Song
Sitao Huang
Da Zheng
Israt Nisa
Wen-mei W. Hwu
    GNN
ArXiv (abs)PDFHTML

Papers citing "Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures"

2 / 2 papers shown
Title
GeoT: Tensor Centric Library for Graph Neural Network via Efficient
  Segment Reduction on GPU
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Zhongming Yu
Genghan Zhang
Hanxian Huang
Xin Chen
Jishen Zhao
GNN
80
0
0
03 Apr 2024
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Yizhou Sun
GNNAI4CE
103
25
0
24 Jun 2023
1