Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum
Author:
Affiliation:
1. Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
2. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
Funder
National Key Research and Development Program of China
Key R&D Program of Zhejiang
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9869776/09781627.pdf?arnumber=9781627
Reference21 articles.
1. Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer
2. Ponzi Scheme Detection in Ethereum Transaction Network
3. Semi-supervised classification with graph convolutional networks;kipf;Proc 5th Int Conf Learn Represent,2017
4. Detecting Ethereum Ponzi Schemes Based on Improved LightGBM Algorithm
5. DeepWalk
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