Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges-Reference-Cited by-同舟云学术

Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges

Author:

Kim Hwan¹^ORCID,Lee Byung Suk²^ORCID,Shin Won-Yong³^ORCID,Lim Sungsu¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea

2. Department of Computer Science, University of Vermont, Burlington, VT, USA

3. Department of Computational Science and Engineering, School of Mathematics and Computing, Yonsei University, Seoul, Republic of Korea

Funder

Institute of Information & communications Technology Planning & Evaluation

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

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