ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.07482
  4. Cited By
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training

18 January 2023
Kezhao Huang
Haitian Jiang
Minjie Wang
Guangxuan Xiao
David Wipf
Xiang Song
Quan Gan
Zengfeng Huang
Jidong Zhai
Zheng-Wei Zhang
    GNN
ArXivPDFHTML

Papers citing "FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training"

1 / 1 papers shown
Title
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel
  Communication-Computation Pipelining on Multi-GPU Platforms
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
24
25
0
14 Sep 2022
1