JOURNAL ARTICLE

Traffic Anomaly Detection based on Spatio-Temporal Hypergraph Convolution Neural Networks

Jiangtao FengYong ZhangXinglin PiaoYongli HuBaocai Yin

Year: 2024 Journal:   Physica A Statistical Mechanics and its Applications Vol: 646 Pages: 129891-129891   Publisher: Elsevier BV
Keywords:
Anomaly detection Hypergraph Convolution (computer science) Base (topology) Computer science Anomaly (physics) Pattern recognition (psychology) Artificial intelligence Artificial neural network Mathematics Discrete mathematics Physics Mathematical analysis

Metrics

6
Cited By
3.83
FWCI (Field Weighted Citation Impact)
61
Refs
0.90
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
Time Series Analysis and Forecasting
Physical Sciences →  Computer Science →  Signal Processing

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