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Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

2 December 2022
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
ArXivPDFHTML

Papers citing "Spectral Feature Augmentation for Graph Contrastive Learning and Beyond"

13 / 13 papers shown
Title
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang
Xinkai Wei
Min Chen
Zhiqiang Wang
Jiye Liang
75
0
0
18 Dec 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via
  Temporal-Viewpoint Alignment
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Lei Wang
Jun Liu
Liang Zheng
Tom Gedeon
Piotr Koniusz
30
9
0
07 Feb 2024
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
28
7
0
30 Nov 2023
Hyperbolic Representation Learning: Revisiting and Advancing
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang
Min Zhou
Rex Ying
Yankai Chen
Irwin King
37
19
0
15 Jun 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
FedML
41
4
0
16 May 2023
Learning Partial Correlation based Deep Visual Representation for Image
  Classification
Learning Partial Correlation based Deep Visual Representation for Image Classification
Saimunur Rahman
Piotr Koniusz
Lei Wang
Luping Zhou
Peyman Moghadam
Changming Sun
SSL
29
9
0
23 Apr 2023
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action
  Recognition
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Lei Wang
Piotr Koniusz
ViT
28
45
0
25 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in
  Traffic Forecasting
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo
Wei Shao
Hao Xue
Piotr Koniusz
Flora D. Salim
AI4TS
36
14
0
20 Feb 2023
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
47
143
0
21 Sep 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
39
68
0
28 Dec 2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz
Hongguang Zhang
45
56
0
27 Dec 2020
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
186
351
0
12 Jun 2018
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