Deep Graph Learning for Anomalous Citation Detection-Reference-Cited by-同舟云学术

Deep Graph Learning for Anomalous Citation Detection

Author:

Liu Jiaying¹^ORCID,Xia Feng²^ORCID,Feng Xu³^ORCID,Ren Jing²^ORCID,Liu Huan⁴^ORCID

Affiliation:

1. School of Economics and Management, Dalian University of Technology, Dalian, China

2. School of Engineering, IT and Physical Sciences, Federation University Australia, Ballarat, VIC, Australia

3. School of Software, Dalian University of Technology, Dalian, China

4. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

Reference59 articles.

1. Data augmentation for graph neural networks;zhao;Proc 35th AAAI Conf Artif Intell,2021

2. Graph-revised convolutional network;yu;Proc Eur Conf Mach Learn Knowl Discovery Databases,2020

5. Heterogeneous deep graph InfoMax;ren;Proc Workshop Deep Learn Graphs Methodol Appl Co-Located 34th AAAI Conf Artif Intell,2020

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