Alert button
Picture for Wenzhong Guo

Wenzhong Guo

Alert button

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks

Mar 14, 2024
Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Wenzhong Guo

Viaarxiv icon

FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework

Feb 20, 2024
Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-kiong Ng

Viaarxiv icon

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness

Aug 07, 2023
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo

Figure 1 for Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Figure 2 for Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Figure 3 for Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Figure 4 for Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Viaarxiv icon

High-Similarity-Pass Attention for Single Image Super-Resolution

May 25, 2023
Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen

Figure 1 for High-Similarity-Pass Attention for Single Image Super-Resolution
Figure 2 for High-Similarity-Pass Attention for Single Image Super-Resolution
Figure 3 for High-Similarity-Pass Attention for Single Image Super-Resolution
Figure 4 for High-Similarity-Pass Attention for Single Image Super-Resolution
Viaarxiv icon

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs

Apr 18, 2023
Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo

Figure 1 for Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Figure 2 for Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Figure 3 for Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Figure 4 for Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Viaarxiv icon

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Apr 14, 2023
Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo

Figure 1 for AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Figure 2 for AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Figure 3 for AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Figure 4 for AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Viaarxiv icon

Properties and Potential Applications of Random Functional-Linked Types of Neural Networks

Apr 03, 2023
Guang-Yong Chen, Yong-Hang Yu, Min Gan, C. L. Philip Chen, Wenzhong Guo

Figure 1 for Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Figure 2 for Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Figure 3 for Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Figure 4 for Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Viaarxiv icon

Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network

Feb 05, 2023
Jinyu Cai, Yi Han, Wenzhong Guo, Jicong Fan

Figure 1 for Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
Figure 2 for Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
Figure 3 for Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
Figure 4 for Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
Viaarxiv icon

Multi-view Graph Convolutional Networks with Differentiable Node Selection

Dec 09, 2022
Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo

Figure 1 for Multi-view Graph Convolutional Networks with Differentiable Node Selection
Figure 2 for Multi-view Graph Convolutional Networks with Differentiable Node Selection
Figure 3 for Multi-view Graph Convolutional Networks with Differentiable Node Selection
Figure 4 for Multi-view Graph Convolutional Networks with Differentiable Node Selection
Viaarxiv icon

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning

Dec 05, 2022
Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo

Figure 1 for Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Figure 2 for Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Figure 3 for Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Figure 4 for Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Viaarxiv icon