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RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph
  Convolutional Networks

RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks

17 August 2021
Feng Sun
Ajith Kumar
Guanci Yang
Qikui Zhu
Yiyun Zhang
Ansi Zhang
Dhruv Makwana
    SSL
    GNN
ArXivPDFHTML

Papers citing "RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks"

4 / 4 papers shown
Title
Node Embedding using Mutual Information and Self-Supervision based
  Bi-level Aggregation
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Kashob Kumar Roy
Amit Roy
A. Rahman
M. A. Amin
A. Ali
SSL
16
10
0
27 Apr 2021
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
82
0
30 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
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