activity
20192026
most citedBehavior-aware Account De-anonymization on Ethereum Interaction Graph

109 citations · 339 across the 38 of their papers we have counts for

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8 papers · 1 filter

cs.SI2023★ 1 cited

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum

Chengxiang Jin, Jiajun Zhou, Shengbo Gong +2

Blockchain technology revolutionizes the Internet, but also poses increasing risks, particularly in cryptocurrency finance. On the Ethereum platform, Ponzi schemes, phishing scams,…

cs.SI2022★ 3 cited

Phishing Fraud Detection on Ethereum using Graph Neural Network

Panpan Li, Yunyi Xie, Xinyao Xu +2

Blockchain has widespread applications in the financial field but has also attracted increasing cybercrimes. Recently, phishing fraud has emerged as a major threat to blockchain se…

cs.SI2022★ 109 cited

Behavior-aware Account De-anonymization on Ethereum Interaction Graph

Jiajun Zhou, Chenkai Hu, Jianlei Chi +3

Blockchain technology has the characteristics of decentralization, traceability and tamper-proof, which creates a reliable decentralized trust mechanism, further accelerating the d…

cs.SI2021★ 1 cited

Inductive Subgraph Embedding for Link Prediction

Chunyu Miao, Chenxuan Xie, Jiajun Zhou +3

Graph representation learning (GRL) has emerged as a powerful technique for solving graph analytics tasks. It can effectively convert discrete graph data into a low-dimensional spa…

cs.SI2021★ 56 cited

Identity Inference on Blockchain using Graph Neural Network

Jie Shen, Jiajun Zhou, Yunyi Xie +2

The anonymity of blockchain has accelerated the growth of illegal activities and criminal behaviors on cryptocurrency platforms. Although decentralization is one of the typical cha…

cs.SI2021★ 3 cited

Sampling Subgraph Network with Application to Graph Classification

Jinhuan Wang, Pengtao Chen, Bin Ma +4

Graphs are naturally used to describe the structures of various real-world systems in biology, society, computer science etc., where subgraphs or motifs as basic blocks play an imp…

cs.SI2020★ 31 cited

Data Augmentation for Graph Classification

Jiajun Zhou, Jie Shen, Qi Xuan

Graph classification, which aims to identify the category labels of graphs, plays a significant role in drug classification, toxicity detection, protein analysis etc. However, the…

cs.SI2019★ 22 cited

RobustECD: Enhancement of Network Structure for Robust Community Detection

Jiajun Zhou, Zhi Chen, Min Du +4

Community detection, which focuses on clustering vertex interactions, plays a significant role in network analysis. However, it also faces numerous challenges like missing data and…