Standout Papers

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series 2021 2026 2022 2024491
  1. Graph Neural Network-Based Anomaly Detection in Multivariate Time Series (2021)
    Ailin Deng, Bryan Hooi Proceedings of the AAAI Conference on Artificial Intelligence

Immediate Impact

44 standout
Sub-graph 1 of 18

Citing Papers

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
2024 Standout
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
2024 Standout
1 intermediate paper

Works of Ailin Deng being referenced

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
2021 Standout

Author Peers

Author Last Decade Papers Cites
Ailin Deng 399 8 260 233 7 537
Jingchao Ni 376 3 170 218 15 522
Bo Zong 371 3 172 210 15 485
Donghwoon Kwon 337 10 304 156 6 458
Sang C. Suh 373 10 322 160 23 543
Ángel Conde 272 4 110 119 14 495
Riyaz Ahamed Ariyaluran Habeeb 290 8 298 143 12 571
Miao Xie 314 1 388 104 20 600
Jun Long 325 8 184 130 11 519
Abdulla Amin Aburomman 407 2 393 198 6 532
Shaimaa Ahmed Elsaid 264 44 183 99 22 565

All Works

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2026