Both Homophily and Heterophily Matter: Bi-Path Aware Graph Neural Network for Ethereum Account Classification-Reference-Cited by-同舟云学术

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Both Homophily and Heterophily Matter: Bi-Path Aware Graph Neural Network for Ethereum Account Classification

Published:2023-09 Issue:3 Volume:13 Page:829-840
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Yang Han¹^ORCID,Fang Junyuan²^ORCID,Wu Jiajing¹^ORCID,Zheng Zibin³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China

3. School of Software Engineering, Sun Yat-sen University, Zhuhai, China

Funder

National Natural Science Foundation of China

Natural Science Foundations of Guangdong Province

Guangzhou Basic and Applied Basic Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5503868/10251074/10184005.pdf?arnumber=10184005

Reference44 articles.

1. Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph

2. Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning

3. Detecting Mixing Services via Mining Bitcoin Transaction Network With Hybrid Motifs

4. Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network

5. DeepWalk

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