Architectural Implications of Embedding Dimension during GCN on CPU and GPU

1 December 2022

David Brooks

Papers citing "Architectural Implications of Embedding Dimension during GCN on CPU and GPU"

3 / 3 papers shown

Title
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 46 119 0 14 Apr 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 133 2,687 0 02 May 2020
Characterizing and Understanding GCNs on GPU Yurui Lai Zhaodong Chen Lei Deng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie BDL GNN 23 64 0 28 Jan 2020