Heterogeneous Graph Neural Networks for Malicious Account Detection-Reference-Cited by-同舟云学术

Heterogeneous Graph Neural Networks for Malicious Account Detection

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
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Author:

Liu Ziqi¹,Chen Chaochao¹,Yang Xinxing²,Zhou Jun²,Li Xiaolong³,Song Le⁴

Affiliation:

1. Ant Financial Services Group, Hangzhou, China

2. Ant Financial Services Group, Beijing, China

3. Ant Financial Services Group, Seattle, WA, USA

4. Georgia Institute of Technology & Ant Financial Services Group, Atlanta, GA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3272010

Reference23 articles.

1. Distributed large-scale natural graph factorization

2. Mikhail Belkin and Partha Niyogi. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems. 585--591. Mikhail Belkin and Partha Niyogi. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems. 585--591.

3. Uncovering Large Groups of Active Malicious Accounts in Online Social Networks

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