FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System-Reference-Cited by-同舟云学术

FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System

Published:2019-05-13 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of The 2019 World Wide Web Conference
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Author:

Wang Jianyu¹,Wen Rui²,Wu Chunming¹,Huang Yu²,Xion Jian²

Affiliation:

1. Zhejiang University Hangzhou, China

2. Tencent Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3308560.3316586

Reference23 articles.

1. Leman Akoglu Rishi Chandy and Christos Faloutsos. 2013. Opinion Fraud Detection in Online Reviews by Network Effects.ICWSM 13(2013) 2–11. Leman Akoglu Rishi Chandy and Christos Faloutsos. 2013. Opinion Fraud Detection in Online Reviews by Network Effects.ICWSM 13(2013) 2–11.

2. Graph based anomaly detection and description: a survey

3. Alessandro Bessi and Emilio Ferrara. 2016. Social bots distort the 2016 US Presidential election online discussion. (2016). Alessandro Bessi and Emilio Ferrara. 2016. Social bots distort the 2016 US Presidential election online discussion. (2016).

4. node2vec

5. Bryan Hooi Kijung Shin Hyun Ah Song Alex Beutel Neil Shah and Christos Faloutsos. 2017. Graph-based fraud detection in the face of camouflage. ACM Transactions on Knowledge Discovery from Data (TKDD) 11 4(2017) 44. 10.1145/3056563 Bryan Hooi Kijung Shin Hyun Ah Song Alex Beutel Neil Shah and Christos Faloutsos. 2017. Graph-based fraud detection in the face of camouflage. ACM Transactions on Knowledge Discovery from Data (TKDD) 11 4(2017) 44. 10.1145/3056563

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