GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism

19 August 2023

Papers citing "GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism"

8 / 8 papers shown

Title
MultiGran-STGCNFog: Towards Accurate and High-Throughput Inference for Multi-Granular Spatiotemporal Traffic Forecasting Zhaoyan Wang Xiangchi Song In-Young Ko AI4TS 25 0 0 02 May 2025
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 33 1 0 01 Jun 2024
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms Yuke Wang Boyuan Feng Zheng Wang Tong Geng Kevin J. Barker Ang Li Yufei Ding GNN 32 25 0 14 Sep 2022
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 40 21 0 11 Nov 2021
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines Shigang Li Torsten Hoefler GNN AI4CE LRM 77 130 0 14 Jul 2021
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016