Efficient Scaling of Dynamic Graph Neural Networks

16 September 2021

Papers citing "Efficient Scaling of Dynamic Graph Neural Networks"

5 / 5 papers shown

Title
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 26 13 0 14 Jul 2023
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference Han-Chen Chen Cong Hao GNN AI4CE 36 9 0 13 Apr 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs Chunyang Wang Desen Sun Yunru Bai GNN AI4CE 50 15 0 01 Jan 2023
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 197 746 0 03 Sep 2019