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. 2211.05368
  4. Cited By
A Comprehensive Survey on Distributed Training of Graph Neural Networks

A Comprehensive Survey on Distributed Training of Graph Neural Networks

10 November 2022
Haiyang Lin
Mingyu Yan
Xiaochun Ye
Dongrui Fan
Shirui Pan
Wenguang Chen
Yuan Xie
    GNN
ArXivPDFHTML

Papers citing "A Comprehensive Survey on Distributed Training of Graph Neural Networks"

12 / 12 papers shown
Title
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Claudio Angione
Yue Zhao
Harry Yang
Ahmad Farhan
Fielding Johnston
James Buban
Patrick Colangelo
38
1
0
29 Jul 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
Shukai Duan
Heng Ping
Nikos Kanakaris
Xiongye Xiao
Panagiotis Kyriakis
...
Guixiang Ma
Mihai Capota
Shahin Nazarian
Theodore L. Willke
Paul Bogdan
43
2
0
23 May 2024
Distributed Constrained Combinatorial Optimization leveraging Hypergraph
  Neural Networks
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
Nasimeh Heydaribeni
Xinrui Zhan
Ruisi Zhang
Tina Eliassi-Rad
F. Koushanfar
AI4CE
27
8
0
15 Nov 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Chunyang Wang
Desen Sun
Yunru Bai
GNN
AI4CE
39
15
0
01 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
104
0
16 May 2022
Sequential Aggregation and Rematerialization: Distributed Full-batch
  Training of Graph Neural Networks on Large Graphs
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
Hesham Mostafa
GNN
43
21
0
11 Nov 2021
MG-GCN: Scalable Multi-GPU GCN Training Framework
MG-GCN: Scalable Multi-GPU GCN Training Framework
M. F. Balin
Kaan Sancak
Ümit V. Çatalyürek
GNN
31
7
0
17 Oct 2021
Accelerating Training and Inference of Graph Neural Networks with Fast
  Sampling and Pipelining
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
68
52
0
16 Oct 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
42
11
0
21 Apr 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
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
189
743
0
03 Sep 2019
Iterative Visual Reasoning Beyond Convolutions
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen
Li-Jia Li
Li Fei-Fei
Abhinav Gupta
LRM
GNN
24
212
0
29 Mar 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
236
3,234
0
24 Nov 2016
1