Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach

Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Original language	English
Title of host publication	40th IEEE International Conference on Data Engineering (ICDE)
Publisher	IEEE
Pages	1-15
Publication status	Published - May 2024

Cite this

@inproceedings{7d5543275b1444309dd9326406807fd2,

title = "Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach",

author = "Xing Ai and Jialong Zhou and Yulin Zhu and Gaolei Li and Michalak, {Tomasz P.} and Xiapu Luo and Kai Zhou",

year = "2024",

month = may,

language = "English",

pages = "1--15",

booktitle = "40th IEEE International Conference on Data Engineering (ICDE)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach

AU - Ai, Xing

AU - Zhou, Jialong

AU - Zhu, Yulin

AU - Li, Gaolei

AU - Michalak, Tomasz P.

AU - Luo, Xiapu

AU - Zhou, Kai

PY - 2024/5

Y1 - 2024/5

M3 - Conference article published in proceeding or book

SP - 1

EP - 15

BT - 40th IEEE International Conference on Data Engineering (ICDE)

PB - IEEE

ER -