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

13 April 2021

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 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 Yufeng Yang Adrian Kneip Charlotte Frenkel GNN 36 4 0 30 Apr 2024
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 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 Weijing Shi Ragunathan R. Rajkumar 3DPC 156 737 0 02 Mar 2020