BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

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	IEEE International Conference on Data Engineering, ICDE 2024
Publisher	IEEE
Pages	1-16
Publication status	Published - May 2024

Cite this

@inproceedings{f17ba4c77c92494993b9d468268c1574,

title = "BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection",

author = "Jie Liu and Mengting He and Xuequn Shang and Jieming Shi and Bin Cui and Hongzhi Yin",

year = "2024",

month = may,

language = "English",

pages = "1--16",

booktitle = "IEEE International Conference on Data Engineering, ICDE 2024",

publisher = "IEEE",

address = "United States",

}

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. / Liu, Jie; He, Mengting; Shang, Xuequn et al.
IEEE International Conference on Data Engineering, ICDE 2024. IEEE, 2024. p. 1-16.

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

TY - GEN

T1 - BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

AU - Liu, Jie

AU - He, Mengting

AU - Shang, Xuequn

AU - Shi, Jieming

AU - Cui, Bin

AU - Yin, Hongzhi

PY - 2024/5

Y1 - 2024/5

M3 - Conference article published in proceeding or book

SP - 1

EP - 16

BT - IEEE International Conference on Data Engineering, ICDE 2024

PB - IEEE

ER -