Work

Explainable Anomaly Detection in Dynamic Heterogeneous Graphs via Relation Evolution

Year: 2026

Type: article

Source: IEEE Transactions on Knowledge and Data Engineering

DOI: 10.1109/tkde.2026.3665892

Authors: Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang

Institutions: Northwestern Polytechnical University, Chinese University of Hong Kong, Shenzhen

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Chinese University of Hong Kong, Shenzhen, National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G1392884172, G1689133894, G3825787491, G6862826674

OpenAlex ID: W7129596378

FWCI: 6.835

Cites: 68

Cited by: 2

Related to: 10