Graph Anomaly Detection via Multi-View Discriminative Awareness Learning

Jie Lian; Xiangsheng Wang; Xincan Lin; Zhihao Wu; Shiping Wang; Wenzhong Guo

doi:10.1109/tnse.2024.3462462

ScienceGate Book Chapters

JOURNAL ARTICLE

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning

Jie Lian Xiangsheng Wang Xincan Lin Zhihao Wu Shiping Wang Wenzhong Guo

Year: 2024 Journal: IEEE Transactions on Network Science and Engineering Vol: 11 (6)Pages: 6623-6635 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tnse.2024.3462462

Get Full-Text PDF Get Analytical Report

Keywords:

Discriminative model Anomaly detection Computer science Artificial intelligence Graph Pattern recognition (psychology) Machine learning Theoretical computer science

Metrics

Cited By

5.11

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning

Metrics

Citation History

Topics

Related Documents

Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection

Enhancing Multi-view Contrastive Learning for Graph Anomaly Detection

Semi-supervised Graph Anomaly Detection via Multi-view Contrastive Learning

Graph Anomaly Detection via Diffusion Enhanced Multi-View Contrastive Learning

Discriminative metric learning for multi-view graph partitioning