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Fisher-Bures Adversary Graph Convolutional Networks
v1v2 (latest)

Fisher-Bures Adversary Graph Convolutional Networks

11 March 2019
Ke Sun
Piotr Koniusz
Zhen Wang
    GNN
ArXiv (abs)PDFHTML

Papers citing "Fisher-Bures Adversary Graph Convolutional Networks"

16 / 16 papers shown
Title
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
117
1
0
22 Feb 2025
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and Sequences
Lei Wang
Piotr Koniusz
81
36
0
30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action
  Recognition
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
Lei Wang
Piotr Koniusz
143
29
0
30 Oct 2022
Node Copying: A Random Graph Model for Effective Graph Sampling
Node Copying: A Random Graph Model for Effective Graph Sampling
Florence Regol
Soumyasundar Pal
Jianing Sun
Yingxue Zhang
Yanhui Geng
Mark Coates
68
5
0
04 Aug 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
87
93
0
09 Jun 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Yifei Zhang
Hao Zhu
Ziqiao Meng
Piotr Koniusz
Irwin King
92
32
0
13 Feb 2022
Multi-level Second-order Few-shot Learning
Multi-level Second-order Few-shot Learning
Hongguang Zhang
Hongdong Li
Piotr Koniusz
98
34
0
15 Jan 2022
Contrastive Laplacian Eigenmaps
Contrastive Laplacian Eigenmaps
Hao Zhu
Ke Sun
Piotr Koniusz
77
47
0
14 Jan 2022
REFINE: Random RangE FInder for Network Embedding
REFINE: Random RangE FInder for Network Embedding
Hao Zhu
Piotr Koniusz
87
22
0
24 Aug 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
123
70
0
28 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
166
125
0
16 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to
  Semi-Supervised Node Classification
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
Deli Chen
Yankai Lin
Lei Li
Xuancheng Ren
Peng Li
Jie Zhou
Xu Sun
92
5
0
14 Dec 2020
Relation Embedding for Personalised POI Recommendation
Relation Embedding for Personalised POI Recommendation
Xianjing Wang
Flora D. Salim
Yongli Ren
Piotr Koniusz
67
12
0
09 Feb 2020
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark Coates
BDLGNN
75
12
0
08 Nov 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
101
1,115
0
07 Sep 2019
Riemannian batch normalization for SPD neural networks
Riemannian batch normalization for SPD neural networks
Daniel A. Brooks
Olivier Schwander
F. Barbaresco
J. Schneider
Matthieu Cord
98
93
0
03 Sep 2019
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