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BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices

BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices

Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
    GNN
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Papers citing "BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices"

5 / 5 papers shown
Title
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
Qizhe Wu
Letian Zhao
Yuchen Gui
Huawen Liang Xiaotian Wang
GNN
29
0
0
06 Nov 2024
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
Yufeng Yang
Adrian Kneip
Charlotte Frenkel
GNN
36
4
0
30 Apr 2024
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
34
56
0
19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
153
737
0
02 Mar 2020