A Comprehensive Survey on Distributed Training of Graph Neural Networks

no code implementations • 10 Nov 2022 • Haiyang Lin, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Shirui Pan, WenGuang Chen, Yuan Xie

This situation poses a considerable challenge for newcomers, hindering their ability to grasp a comprehensive understanding of the workflows, computational patterns, communication strategies, and optimization techniques employed in distributed GNN training.

Characterizing and Understanding Distributed GNN Training on GPUs

no code implementations • 18 Apr 2022 • Haiyang Lin, Mingyu Yan, Xiaocheng Yang, Mo Zou, WenMing Li, Xiaochun Ye, Dongrui Fan

Graph neural network (GNN) has been demonstrated to be a powerful model in many domains for its effectiveness in learning over graphs.