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1887
4255259
Towards automated self-supervised learning for truly unsupervised graph anomaly detection
Author(s):
Li, Z. (
0000-0003-1124-5778
); Wang, Y.; Leeuwen, M. van (
0000-0002-0510-3549
)
Published
2025
Publication type
Article / Letter to editor
Graph anomaly detection
Self-supervised learning
Automated machine learning
Graph neural networks
Label leakage
Date issued
2025-07-05
Language
English
Publisher
Springer Science and Business Media LLC
Is part of
Data Mining and Knowledge Discovery (2025), 44
hdl
1887/4255259
doi
10.1007/s10618-025-01115-5
URL
https://link.springer.com/article/10.1007/s10618-025-01115-5
Funding
Sponsorship
NWO
Persistent identifier url
https://hdl.handle.net/1887/4255259
Documents
01 - Full text
version: Publisher's Version
Full text at Publisher's site
Open Access