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Neighbor Distribution Learning for Minority Class Augmentation
Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:
Zhou, Mengting
;
Gong, Zhiguo
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
8.9
/
8.8
|
Submit date:2024/09/03
Training
Topology
Graph Neural Networks
Data Models
Accuracy
Task Analysis
Image Color Analysis
Class-imbalanced Learning
Data Mining
Node Classification
Module-based graph pooling for graph classification
Journal article
Deng, Sucheng, Yang, Geping, Yang, Yiyang, Gong, Zhiguo, Chen, Can, Chen, Xiang, Hao, Zhifeng. Module-based graph pooling for graph classification[J]. Pattern Recognition, 2024, 154, 110606.
Authors:
Deng, Sucheng
;
Yang, Geping
;
Yang, Yiyang
;
Gong, Zhiguo
;
Chen, Can
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
7.5
/
7.6
|
Submit date:2024/06/05
Graph Classification
Graph Neural Network
Graph Pooling
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification
Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:
Cheng, Chunbo
;
Zhang, Liming
;
Li, Hong
;
Cui, Wenjing
;
Gao, Junbin
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.5
/
7.6
|
Submit date:2024/08/05
Convolutional Neural Network (Cnn)
Deep High-order Tensor Sparse Representation (Sr)
Deep Learning
Graph-based Learning (Gsl)
Hyperspectral Image (Hsi) Classification
KENN: 线性结构熵的图核神经网络
Journal article
Xu, Li Xiang, Xu, Wei, Chen, En Hong, Luo, Bin, Tang, Yuan Yan. KENN: 线性结构熵的图核神经网络[J]. Ruan Jian Xue Bao/Journal of Software, 2024, 35(5), 2430-2445.
Authors:
Xu, Li Xiang
;
Xu, Wei
;
Chen, En Hong
;
Luo, Bin
;
Tang, Yuan Yan
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/07/04
Graph Classification
Graph Kernel
Graph Neural Network (Gnn)
Message Passing Aggregation
Structural Entropy
Generalized Few-Shot Node Classification With Graph Knowledge Distillation
Journal article
Wang, Jialong, Zhou, Mengting, Zhang, Shilong, Gong, Zhiguo. Generalized Few-Shot Node Classification With Graph Knowledge Distillation[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:
Wang, Jialong
;
Zhou, Mengting
;
Zhang, Shilong
;
Gong, Zhiguo
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.5
/
4.6
|
Submit date:2024/05/16
Few-shot Learning (Fsl)
Graph Neural Networks (Gnns)
Knowledge Distillation
Node Classification
Informative Nodes Mining for Class-Imbalanced Representation Learning
Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:
Zhou, Mengting
;
Gong, Zhiguo
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.5
/
4.6
|
Submit date:2024/05/16
Class Imbalanced Learning
Costs
Graph Neural Network (Gnn)
Graph Neural Networks
Node Classification
Representation Learning
Social Networking (Online)
Task Analysis
Training
Training Data
Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs
Journal article
Yin, Qilin, Lu, Wei, Cao, Xiaochun, Luo, Xiangyang, Zhou, Yicong, Huang, Jiwu. Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs[J]. International Journal of Computer Vision, 2024.
Authors:
Yin, Qilin
;
Lu, Wei
;
Cao, Xiaochun
;
Luo, Xiangyang
;
Zhou, Yicong
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
11.6
/
14.5
|
Submit date:2024/07/04
Audio-visual Model
Graph Neural Networks
Heterogeneous Graphs
Multimodal Deepfake Classification
A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification
Journal article
Chen Chunbo, ZHANG LIMING, Li Hong, Cui Wenjing. A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61.
Authors:
Chen Chunbo
;
ZHANG LIMING
;
Li Hong
;
Cui Wenjing
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
7.5
/
7.6
|
Submit date:2023/12/11
Deep Learning (Dl)
Graph-based Learning (Gsl)
Hyperspectral Image (Hsi) Classification
Stochastic Adaptive Fourier Decomposition (Safd)
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification
Journal article
Wang, Haoyu, Cheng, Yuhu, Chen, C. L.Philip, Wang, Xuesong. Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(2), 610-616.
Authors:
Wang, Haoyu
;
Cheng, Yuhu
;
Chen, C. L.Philip
;
Wang, Xuesong
Favorite
|
TC[WOS]:
18
TC[Scopus]:
15
IF:
5.3
/
5.7
|
Submit date:2023/05/02
Broad Learning
Graph Convolution
Hyperspectral Image Classification
Spectral-spatial Feature
Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System
Journal article
Jintao Huang, Chi Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou, C. L.Philip Chen. Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(9), 3290-3304.
Authors:
Jintao Huang
;
Chi Man Vong
;
Guangtai Wang
;
Wenbin Qian
;
Yimin Zhou
; et al.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
8
IF:
10.7
/
9.7
|
Submit date:2023/08/03
Broad Learning System
Classification Algorithms
Correlation
Feature Extraction
Graph Regularization
Label Ambiguity
Label Distribution Learning
Label Enhancement
Learning Systems
Task Analysis
Technological Innovation
Training