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Graph Ladling: Shockingly Simple Parallel GNN Training without
  Intermediate Communication

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

18 June 2023
A. Jaiswal
Shiwei Liu
Tianlong Chen
Ying Ding
Zhangyang Wang
    GNN
ArXivPDFHTML

Papers citing "Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication"

6 / 6 papers shown
Title
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code
  Generation
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
Wenqing Zheng
S. Sharan
Ajay Jaiswal
Kevin Wang
Yihan Xi
Dejia Xu
Zhangyang Wang
41
24
0
28 Apr 2023
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
232
45
0
24 May 2022
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
154
90
0
10 Dec 2020
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
86
76
0
30 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
220
1,726
0
09 Jun 2018
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