Alert button
Picture for Shirui Pan

Shirui Pan

Alert button

Client-side Gradient Inversion Against Federated Learning from Poisoning

Sep 14, 2023
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang

Figure 1 for Client-side Gradient Inversion Against Federated Learning from Poisoning
Figure 2 for Client-side Gradient Inversion Against Federated Learning from Poisoning
Figure 3 for Client-side Gradient Inversion Against Federated Learning from Poisoning
Figure 4 for Client-side Gradient Inversion Against Federated Learning from Poisoning
Viaarxiv icon

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning

Sep 13, 2023
Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan

Figure 1 for ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Figure 2 for ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Figure 3 for ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Figure 4 for ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Viaarxiv icon

Domain-adaptive Message Passing Graph Neural Network

Aug 31, 2023
Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou

Figure 1 for Domain-adaptive Message Passing Graph Neural Network
Figure 2 for Domain-adaptive Message Passing Graph Neural Network
Figure 3 for Domain-adaptive Message Passing Graph Neural Network
Figure 4 for Domain-adaptive Message Passing Graph Neural Network
Viaarxiv icon

CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection

Aug 18, 2023
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Mahsa Salehi

Figure 1 for CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
Figure 2 for CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
Figure 3 for CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
Figure 4 for CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
Viaarxiv icon

$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

Aug 10, 2023
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan

Figure 1 for $\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Figure 2 for $\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Figure 3 for $\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Figure 4 for $\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Viaarxiv icon

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects

Aug 04, 2023
Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao

Figure 1 for A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Figure 2 for A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Figure 3 for A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Figure 4 for A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Viaarxiv icon

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

Jul 17, 2023
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang

Figure 1 for Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Figure 2 for Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Figure 3 for Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Figure 4 for Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Viaarxiv icon

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Jul 07, 2023
Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan

Figure 1 for A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Figure 2 for A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Figure 3 for A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Figure 4 for A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Viaarxiv icon

Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach

Jun 26, 2023
Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong

Figure 1 for Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Figure 2 for Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Figure 3 for Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Figure 4 for Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Viaarxiv icon