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Accurate, Efficient and Scalable Training of Graph Neural Networks

Accurate, Efficient and Scalable Training of Graph Neural Networks

5 October 2020
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
    GNN
ArXiv (abs)PDFHTMLGithub (485★)

Papers citing "Accurate, Efficient and Scalable Training of Graph Neural Networks"

4 / 4 papers shown
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86
  via Minibatch Sampling
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling
Md. Vasimuddin
Ramanarayan Mohanty
Sanchit Misra
Sasikanth Avancha
GNN
139
1
0
11 Nov 2022
T-EMDE: Sketching-based global similarity for cross-modal retrieval
T-EMDE: Sketching-based global similarity for cross-modal retrieval
Barbara Rychalska
Mikolaj Wieczorek
Jacek Dąbrowski
225
1
0
10 May 2021
Modeling Multi-Destination Trips with Sketch-Based Model
Modeling Multi-Destination Trips with Sketch-Based Model
Michal Daniluk
Barbara Rychalska
Konrad Goluchowski
Jacek Dkabrowski
215
5
0
22 Feb 2021
An efficient manifold density estimator for all recommendation systems
An efficient manifold density estimator for all recommendation systemsInternational Conference on Neural Information Processing (ICONIP), 2020
Jacek Dkabrowski
Barbara Rychalska
Michal Daniluk
Dominika Basaj
Konrad Gołuchowski
Piotr Babel
Andrzej Michalowski
Adam Jakubowski
305
19
0
02 Jun 2020
1
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