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On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction
3 March 2021
Weilin Cong
M. Ramezani
M. Mahdavi
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Papers citing
"On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction"
4 / 4 papers shown
Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks
Molly Noel
Gabriel Mancino-Ball
Yangyang Xu
GNN
141
0
0
01 Aug 2025
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
Neural Information Processing Systems (NeurIPS), 2022
M. F. Balin
Ümit V. Çatalyürek
165
28
0
24 Oct 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Rebecca Salganik
Fernando Diaz
G. Farnadi
154
2
0
08 Sep 2022
Benchmarking Graph Neural Networks
Journal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.3K
1,097
0
02 Mar 2020
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