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GSplit: Scaling Graph Neural Network Training on Large Graphs via
  Split-Parallelism

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism

24 March 2023
Sandeep Polisetty
Juelin Liu
Kobi Falus
Yi Ren Fung
Seung-Hwan Lim
Hui Guan
Marco Serafini
    GNN
ArXivPDFHTML

Papers citing "GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism"

3 / 3 papers shown
Title
Deal: Distributed End-to-End GNN Inference for All Nodes
Shiyang Chen
Xiang Song
Vasiloudis Theodore
Hang Liu
GNN
50
0
0
04 Mar 2025
SparseTIR: Composable Abstractions for Sparse Compilation in Deep
  Learning
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye
Ruihang Lai
Junru Shao
Tianqi Chen
Luis Ceze
76
91
0
11 Jul 2022
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
200
746
0
03 Sep 2019
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