FastSample: Accelerating Distributed Graph Neural Network Training for
Billion-Scale Graphs

FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs

29 November 2023

Md Asadullah Turja

Alejandro Ribeiro

Papers citing "FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs"

5 / 5 papers shown

Title
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 51 0 0 25 Jun 2024
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 48 24 0 11 Nov 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 70 52 0 16 Oct 2021
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 194 745 0 03 Sep 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016